researches by institution

gistfile1.txt

institution,author,role,papers,PI_papers,lead_papers,field,subfield,any_RL,active,sample_paper
Universidade de São Paulo,Éster Cerdeira Sabino,,8,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2025,Contrasting deep learning audio models for direct respiratory insufficiency detection vers
Universidade de São Paulo,Francisco A. Rodrigues,PI/head,4,2,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2025,Revealing patterns in major depressive disorder with machine learning and networks
Universidade de São Paulo,Anna S. Levin,,4,0,0,Phonocardiography and Auscultation Techniques,Pulmonary and Respiratory Medicine,,2023–2025,Contrasting Deep Learning Audio Models for Direct Respiratory Insufficiency Detection Vers
Universidade de São Paulo,Joel Augusto Moura Porto,,4,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2025,Revealing patterns in major depressive disorder with machine learning and networks
Universidade de São Paulo,Roberto Fritsche‐Neto,,3,1,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybr
Universidade de São Paulo,Adriano D. Andricopulo,,3,1,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2019–2025,"Semantic-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti– <i>Leishmania infan"
Universidade de São Paulo,André C. P. L. F. de Carvalho,,3,1,0,Evolutionary Algorithms and Applications,Artificial Intelligence,yes,2024–2025,Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembl
Universidade de São Paulo,Vanderson Rocha,,3,0,0,Single-cell and spatial transcriptomics,Molecular Biology,,2024–2025,Deconvolution of cell types and states in spatial multiomics utilizing TACIT
Universidade de São Paulo,Victor O. Gawriljuk,,3,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2021,Quantum Machine Learning Algorithms for Drug Discovery Applications
Universidade de São Paulo,Marisa Dolhnokoff,,3,0,0,Single-cell and spatial transcriptomics,Molecular Biology,,2024–2025,Deconvolution of cell types and states in spatial multiomics utilizing TACIT
Universidade de São Paulo,Deiziane de Souza,,3,0,0,Single-cell and spatial transcriptomics,Molecular Biology,,2024–2025,Deconvolution of cell types and states in spatial multiomics utilizing TACIT
Universidade de São Paulo,Marcelo Finger,PI/head,2,2,0,Music and Audio Processing,Signal Processing,,2021–2023,Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection i
Universidade de São Paulo,João Carlos Setúbal,PI/head,2,2,0,Bacteriophages and microbial interactions,Ecology,,2020–2022,"vHULK, a New Tool for Bacteriophage Host Prediction Based on Annotated Genomic Features an"
Universidade de São Paulo,Ricardo Silva,PI/head,2,2,0,Antibiotic Resistance in Bacteria,Molecular Medicine,,2024–2025,DeepSEA: an alignment-free explainable approach to annotate antimicrobial resistance prote
Universidade de São Paulo,Albérico B. F. da Silva,PI/head,2,2,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2024–2024,Machine Learning and Neural Network Methods Applied to Drug Discovery
Universidade de São Paulo,Helder I. Nakaya,,2,1,0,Artificial Intelligence in Healthcare and Education,Health Informatics,,2024–2026,Leveraging AI for cell biology discovery
Universidade de São Paulo,Loriz Francisco Sallum,,2,0,2,Mental Health Research Topics,Experimental and Cognitive Psychology,,2024–2025,Revealing patterns in major depressive disorder with machine learning and networks
Universidade de São Paulo,Caroline L. Alves,,2,0,2,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2023,Analysis of functional connectivity using machine learning and deep learning in different 
Universidade de São Paulo,Luana Giatti,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2024–2024,Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk es
Universidade de São Paulo,Tiago Cabral Borelli,,2,0,2,Antibiotic Resistance in Bacteria,Molecular Medicine,,2024–2025,DeepSEA: an alignment-free explainable approach to annotate antimicrobial resistance prote
Universidade de São Paulo,Káthia M. Honório,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2024–2024,Machine Learning and Neural Network Methods Applied to Drug Discovery
Universidade de São Paulo,Aruane M. Pineda,,2,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2023,Analysis of functional connectivity using machine learning and deep learning in different 
Universidade de São Paulo,Deyvid Amgarten,,2,0,2,Bacteriophages and microbial interactions,Ecology,,2020–2022,"vHULK, a New Tool for Bacteriophage Host Prediction Based on Annotated Genomic Features an"
Universidade de São Paulo,Aldineia P. da Silva,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2024–2024,Machine Learning and Neural Network Methods Applied to Drug Discovery
Universidade de São Paulo,Bruno Koshin Vázquez Iha,,2,0,0,Bacteriophages and microbial interactions,Ecology,,2020–2022,"vHULK, a New Tool for Bacteriophage Host Prediction Based on Annotated Genomic Features an"
Universidade de São Paulo,Anna Reali,,2,0,0,Evolutionary Algorithms and Applications,Artificial Intelligence,yes,2024–2025,Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembl
Universidade de São Paulo,Marcelo Matheus Gauy,,2,0,2,Music and Audio Processing,Signal Processing,,2021–2023,Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection i
Universidade de São Paulo,Carlos Morais Piroupo,,2,0,0,Bacteriophages and microbial interactions,Ecology,,2020–2022,"vHULK, a New Tool for Bacteriophage Host Prediction Based on Annotated Genomic Features an"
Universidade de São Paulo,Luiz Fernando Ferraz da Silva,,2,0,0,Single-cell and spatial transcriptomics,Molecular Biology,,2024–2025,Deconvolution of cell types and states in spatial multiomics utilizing TACIT
Universidade de São Paulo,Aline Maria da Silva,,2,0,0,Bacteriophages and microbial interactions,Ecology,,2020–2022,"vHULK, a New Tool for Bacteriophage Host Prediction Based on Annotated Genomic Features an"
Universidade Federal de Viçosa,Cosme Damião Cruz,PI/head,12,6,1,Genetic and phenotypic traits in livestock,Genetics,,2018–2025,Marker pre-selection as a strategy to enhance genomic prediction with machine learning: Ex
Universidade Federal de Viçosa,Moysés Nascimento,,10,1,0,Genetic and phenotypic traits in livestock,Genetics,,2018–2025,Marker pre-selection as a strategy to enhance genomic prediction with machine learning: Ex
Universidade Federal de Viçosa,Camila Ferreira Azevedo,,6,1,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Two-step genomic prediction using artificial neural networks - an effective strategy for r
Universidade Federal de Viçosa,Fabyano Fonseca e Silva,,3,1,0,Genetic and phenotypic traits in livestock,Genetics,,2019–2022,Genome-enabled classification of stayability in Nellore cattle under a machine learning fr
Universidade Federal de Viçosa,Ana Carolina Campana Nascimento,,3,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Two-step genomic prediction using artificial neural networks - an effective strategy for r
Universidade Federal de Viçosa,F. Murilo Zerbini,PI/head,2,2,0,Genomics and Phylogenetic Studies,Molecular Biology,,2023–2023,"ConCreT, a 2D convolutional neural network for taxonomic classification applied to viruses"
Universidade Federal de Viçosa,Ruither A. L. Gomes,,2,0,2,Genomics and Phylogenetic Studies,Molecular Biology,,2023–2023,"ConCreT, a 2D convolutional neural network for taxonomic classification applied to viruses"
Universidade Federal de Viçosa,Maurício de Oliveira Celeri,,2,0,1,Genetic and phenotypic traits in livestock,Genetics,,2022–2024,Two-step genomic prediction using artificial neural networks - an effective strategy for r
Universidade Federal de Viçosa,José Cleydson F. Silva,,2,0,1,Genomics and Phylogenetic Studies,Molecular Biology,,2019–2022,Genome-enabled classification of stayability in Nellore cattle under a machine learning fr
Universidade Federal de Viçosa,Ithalo Coelho de Sousa,,2,0,2,Genetics and Plant Breeding,Plant Science,,2020–2022,Marker effects and heritability estimates using additive-dominance genomic architectures v
Universidade Federal de Viçosa,Wagner Faria Barbosa,,2,0,1,Genetic and phenotypic traits in livestock,Genetics,,2024–2025,Marker pre-selection as a strategy to enhance genomic prediction with machine learning: Ex
Universidade Federal de Viçosa,Fabiano Rodrigues de Melo,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal de Viçosa,Isabela de Castro Sant’Anna,,2,0,2,Genetic Mapping and Diversity in Plants and Animals,Genetics,,2020–2020,GENOME-ENABLED PREDICTION OF GENETIC VALUES FOR USING RADIAL BASIS FUNCTION NEURAL NETWORK
Universidade Federal do Rio Grande do Norte,Marcelo A. C. Fernandes,PI/head,9,6,1,Fractal and DNA sequence analysis,Molecular Biology,,2020–2024,Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants wit
Universidade Federal do Rio Grande do Norte,Gabriel Damasco,,7,0,0,"Conservation, Biodiversity, and Resource Management",Global and Planetary Change,,2021–2022,Madagascar's extraordinary biodiversity: a data repository
Universidade Federal do Rio Grande do Norte,Maria G. F. Coutinho,,6,0,3,Machine Learning in Bioinformatics,Molecular Biology,,2020–2024,Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtyp
Universidade Federal do Rio Grande do Norte,Raquel de Melo Barbosa,,5,1,0,Machine Learning in Bioinformatics,Molecular Biology,,2021–2024,Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtyp
Universidade Federal do Rio Grande do Norte,Gabriel Bezerra Motta Câmara,,4,0,1,Machine Learning in Bioinformatics,Molecular Biology,,2021–2024,Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants wit
Universidade Federal do Rio Grande do Norte,Marcos R. Costa,PI/head,3,3,0,Cholinesterase and Neurodegenerative Diseases,Pharmacology,,2022–2023,Amyloid-Beta Peptides Trigger Premature Functional and Gene Expression Alterations in Huma
Universidade Federal do Rio Grande do Norte,Sidarta Ribeiro,,2,1,0,Anesthesia and Neurotoxicity Research,Developmental Neuroscience,,2021–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
Universidade Federal do Rio Grande do Norte,Claudio M. Queiroz,,2,0,0,Cholinesterase and Neurodegenerative Diseases,Pharmacology,,2022–2022,Alzheimer's Disease Risk Gene BIN1 Modulates Neural Network Activity Through the Regulatio
Universidade Federal do Rio Grande do Norte,Jackson Gomes de Souza,,2,0,1,Fractal and DNA sequence analysis,Molecular Biology,,2022–2023,New proposal of viral genome representation applied in the classification of SARS-CoV-2 wi
Universidade Federal do Rio Grande do Norte,Luísa C. de Souza,,2,0,1,Fractal and DNA sequence analysis,Molecular Biology,,2023–2024,Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtyp
Universidade Federal do Rio Grande do Norte,Karolayne S. Azevedo,,2,0,1,Fractal and DNA sequence analysis,Molecular Biology,,2023–2024,Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtyp
Universidade Federal do Rio Grande do Norte,Ana Raquel Melo de Farias,,2,0,1,Neuroinflammation and Neurodegeneration Mechanisms,Neurology,,2022–2023,Amyloid-Beta Peptides Trigger Premature Functional and Gene Expression Alterations in Huma
Universidade Federal de Minas Gerais,Antônio Luiz Pinho Ribeiro,,8,0,2,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2021–2025,Development and multinational validation of an ensemble deep learning algorithm for detect
Universidade Federal de Minas Gerais,George Teodoro,,5,0,0,AI in cancer detection,Artificial Intelligence,,2021–2023,Deep learning based registration of serial whole-slide histopathology images in different 
Universidade Federal de Minas Gerais,Sandhi Maria Barreto,,4,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2025,Development and multinational validation of an ensemble deep learning algorithm for detect
Universidade Federal de Minas Gerais,A H Ribeiro,,3,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2024,"Prediction of mortality, future arrhythmia and cardiovascular disease: an artificial intel"
Universidade Federal de Minas Gerais,Luísa Campos Caldeira Brant,,3,0,1,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2024,Development and Multinational Validation of an Ensemble Deep Learning Algorithm for Detect
Universidade Federal de Minas Gerais,Raquel C. de Melo-Minardi,PI/head,2,2,0,"Genetics, Bioinformatics, and Biomedical Research",Molecular Biology,,2022–2024,Deep Learning in Bioinformatics
Universidade Federal de Minas Gerais,Vinícius Gonçalves Maltarollo,,2,1,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2023–2023,Overcoming class imbalance in drug discovery problems: Graph neural networks and balancing
Universidade Federal de Minas Gerais,Antônio H. Ribeiro,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2023,End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural netw
Universidade Federal de Minas Gerais,Lucas Moraes dos Santos,,2,0,1,"Genetics, Bioinformatics, and Biomedical Research",Molecular Biology,,2022–2024,Deep Learning in Bioinformatics
Universidade Federal de Minas Gerais,Wagner Meira,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2021–2021,Sami-Trop: 12-lead ECG traces with age and mortality annotations
Universidade Federal de Minas Gerais,Paulo R. Gomes,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2021–2021,Sami-Trop: 12-lead ECG traces with age and mortality annotations
Universidade Federal de Minas Gerais,Derick M. Oliveira,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2021–2021,Sami-Trop: 12-lead ECG traces with age and mortality annotations
Universidade Federal de Minas Gerais,Marcelo Martins Pinto Filho,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2021–2021,Sami-Trop: 12-lead ECG traces with age and mortality annotations
Universidade Federal de Minas Gerais,Emilly M. Lima,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2021–2021,Sami-Trop: 12-lead ECG traces with age and mortality annotations
Universidade Federal de Minas Gerais,Gabriela Paixão,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2021–2021,Sami-Trop: 12-lead ECG traces with age and mortality annotations
AstraZeneca (Brazil),Jiazhen He,,5,0,5,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2021,Transformer Neural Network for Structure Constrained Molecular Optimization
AstraZeneca (Brazil),Etai Jacob,PI/head,4,2,2,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2023–2025,Pretrained transformers applied to clinical studies improve predictions of treatment effic
AstraZeneca (Brazil),Christian Tyrchan,,4,1,0,Machine Learning in Materials Science,Materials Chemistry,,2025–2026,QuADMET-Former: Pre-training on Quantum Mechanical Properties Improves ADMET Prediction
AstraZeneca (Brazil),Jon Paul Janet,,4,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,yes,2021–2024,Transfer learning with graph neural networks for improved molecular property prediction in
AstraZeneca (Brazil),Eva Nittinger,,4,0,1,Machine Learning in Materials Science,Materials Chemistry,,2025–2026,QuADMET-Former: Pre-training on Quantum Mechanical Properties Improves ADMET Prediction
AstraZeneca (Brazil),Hongtao Zhao,,3,0,0,Machine Learning in Materials Science,Materials Chemistry,,2026–2026,QuADMET-Former: Pre-training on Quantum Mechanical Properties Improves ADMET Prediction
AstraZeneca (Brazil),Steven J. Kiddle,,3,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2024,Transfer learning with graph neural networks for improved molecular property prediction in
AstraZeneca (Brazil),Gustavo Arango-Argoty,,3,0,2,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2024–2025,Pretrained transformers applied to clinical studies improve predictions of treatment effic
AstraZeneca (Brazil),Esben Jannik Bjerrum,,2,0,2,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2020,Artificial Applicability Labels for Improving Policies in Retrosynthesis Prediction
AstraZeneca (Brazil),Arijit Patra,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2021–2023,Pretrained transformers applied to clinical studies improve predictions of treatment effic
AstraZeneca (Brazil),Elly Kipkogei,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2023–2024,AI-based predictive biomarker discovery via contrastive learning retrospectively improves 
AstraZeneca (Brazil),Kevin Woollard,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2024–2024,Phytochemicals in Drug Discovery - A Confluence of Tradition and Innovation
Hospital das Clínicas da Universidade Federal de Minas Gerais,Antônio Luiz Pinho Ribeiro,,8,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2025,Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Mul
Hospital das Clínicas da Universidade Federal de Minas Gerais,Antônio H. Ribeiro,,6,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2025,Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Mul
Hospital das Clínicas da Universidade Federal de Minas Gerais,Sandhi Maria Barreto,,6,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2025,Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Mul
Hospital das Clínicas da Universidade Federal de Minas Gerais,Luana Giatti,,3,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2024,Prognostic Significance and Associations of Neural Network–Derived Electrocardiographic Fe
Hospital das Clínicas da Universidade Federal de Minas Gerais,Luísa Campos Caldeira Brant,,3,0,2,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2023–2025,Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Mul
Hospital das Clínicas da Universidade Federal de Minas Gerais,Lidyane do Valle Camelo,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2024–2024,Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk es
Hospital das Clínicas da Universidade Federal de Minas Gerais,A H Ribeiro,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2024–2024,Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk es
Hospital das Clínicas da Universidade Federal de Minas Gerais,Marcelo Martins Pinto Filho,,2,0,0,Atrial Fibrillation Management and Outcomes,Cardiology and Cardiovascular Medicine,,2023–2025,Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Mul
Hospital das Clínicas da Universidade Federal de Minas Gerais,Antonio Luiz P Ribeiro,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2024–2024,Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk es
Laboratório Nacional de Computação Científica,Isabella Alvim Guedes,,8,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2023–2026,Data-centric training enables meaningful interaction learning in protein–ligand binding af
Laboratório Nacional de Computação Científica,Fábio Lima Custódio,,8,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2018–2025,Data-centric training enables meaningful interaction learning in protein–ligand binding af
Laboratório Nacional de Computação Científica,Laurent E. Dardenne,PI/head,7,7,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2018–2025,Data-centric training enables meaningful interaction learning in protein–ligand binding af
Laboratório Nacional de Computação Científica,Matheus Müller Pereira da Silva,,6,0,6,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2023–2024,Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening
Laboratório Nacional de Computação Científica,Lincon Vidal,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2025–2026,Data-centric training enables meaningful interaction learning in protein–ligand binding af
Universidade Estadual de Campinas (UNICAMP),Priscila T. M. Saito,,3,0,0,Chromosomal and Genetic Variations,Plant Science,,2019–2020,TERL: classification of transposable elements by convolutional neural networks
Universidade Estadual de Campinas (UNICAMP),Ljubica Tasić,PI/head,2,2,0,Mental Health via Writing,Social Psychology,,2024–2025,Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review
Universidade Estadual de Campinas (UNICAMP),Marcelo Falsarella Carazzolle,PI/head,2,2,0,RNA and protein synthesis mechanisms,Molecular Biology,,2019–2020,RNAsamba: neural network-based assessment of the protein-coding potential of RNA sequences
Universidade Estadual de Campinas (UNICAMP),Anete Pereira de Souza,PI/head,2,2,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Universidade Estadual de Campinas (UNICAMP),Daniel Martins‐de‐Souza,,2,1,0,Pluripotent Stem Cells Research,Molecular Biology,,2019–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
Universidade Estadual de Campinas (UNICAMP),Alexandre Hild Aono,,2,0,2,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Universidade Estadual de Campinas (UNICAMP),Cristina F. Bazzano,,2,0,2,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2019–2023,Lig-PCDB: Labeled Databases of X-ray Ligands Images in 3D Point Clouds and Validated Deep 
Universidade Estadual de Campinas (UNICAMP),Livia Moura Souza,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Universidade Estadual de Campinas (UNICAMP),Juliana Nascimento,,2,0,1,Pluripotent Stem Cells Research,Molecular Biology,,2019–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
Universidade Estadual de Campinas (UNICAMP),Guilherme P. Telles,,2,0,0,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2019–2023,Lig-PCDB: Labeled Databases of X-ray Ligands Images in 3D Point Clouds and Validated Deep 
Universidade Estadual de Campinas (UNICAMP),Murilo Costa de Barros,,2,0,0,Dementia and Cognitive Impairment Research,Psychiatry and Mental health,,2025–2025,Longitudinal White Matter Hyperintensity Segmentation with LSTM-Enhanced U-Net
Universidade Estadual de Campinas (UNICAMP),Cassia Galves,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2021–2021,Automated Machine Learning: a case study of genomic “image-based” prediction in maize hybr
Universidade Estadual de Campinas (UNICAMP),Felipe Roberto Francisco,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Universidade Estadual de Campinas (UNICAMP),Antônio Pedro Camargo,,2,0,2,RNA and protein synthesis mechanisms,Molecular Biology,,2019–2020,RNAsamba: neural network-based assessment of the protein-coding potential of RNA sequences
Universidade Estadual de Campinas (UNICAMP),João Guilherme de Moraes Pontes,,2,0,1,Mental Health via Writing,Social Psychology,,2024–2025,Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review
Universidade Tecnológica Federal do Paraná,Alexandre Rossi Paschoal,,7,0,0,Chromosomal and Genetic Variations,Plant Science,,2019–2026,PanTEon: a cross-kingdom framework to guide the design of transposable element classifiers
Universidade Tecnológica Federal do Paraná,Pedro H. Bugatti,PI/head,3,3,0,Chromosomal and Genetic Variations,Plant Science,,2019–2020,TERL: classification of transposable elements by convolutional neural networks
Universidade Tecnológica Federal do Paraná,Murilo Horacio Pereira da Cruz,,3,0,3,Chromosomal and Genetic Variations,Plant Science,,2019–2020,TERL: classification of transposable elements by convolutional neural networks
Universidade Tecnológica Federal do Paraná,Priscila T. M. Saito,,3,0,0,Chromosomal and Genetic Variations,Plant Science,,2019–2020,TERL: classification of transposable elements by convolutional neural networks
Universidade Tecnológica Federal do Paraná,Elisângela Aparecida da Silva Lizzi,PI/head,2,2,0,Gene expression and cancer classification,Molecular Biology,,2024–2025,Classification of Breast Cancer Subtypes Using Machine and Deep Learning on Gene Expressio
Universidade Tecnológica Federal do Paraná,Angelika Valentin,,2,0,2,Gene expression and cancer classification,Molecular Biology,,2024–2025,Classification of Breast Cancer Subtypes Using Machine and Deep Learning on Gene Expressio
Universidade Tecnológica Federal do Paraná,Gláucia Maria Bressan,,2,0,0,Gene expression and cancer classification,Molecular Biology,,2024–2025,Classification of Breast Cancer Subtypes Using Machine and Deep Learning on Gene Expressio
Universidade Tecnológica Federal do Paraná,Gabriel Rocha Stanzione,,2,0,0,Non-Invasive Vital Sign Monitoring,Biomedical Engineering,,2024–2025,Contrasting Deep Learning Audio Models for Direct Respiratory Insufficiency Detection Vers
Universidade Tecnológica Federal do Paraná,Leonardo Canuto,,2,0,0,Gene expression and cancer classification,Molecular Biology,,2024–2025,Classification of Breast Cancer Subtypes Using Machine and Deep Learning on Gene Expressio
Universidade Estadual Paulista (Unesp),Lúcia Galvão de Albuquerque,PI/head,3,3,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Benchmarking machine learning and parametric methods for genomic prediction of feed effici
Universidade Estadual Paulista (Unesp),Gerardo Alves Fernandes Júnior,,3,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Benchmarking machine learning and parametric methods for genomic prediction of feed effici
Universidade Estadual Paulista (Unesp),Roberto Carvalheiro,,3,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Benchmarking machine learning and parametric methods for genomic prediction of feed effici
Universidade Estadual Paulista (Unesp),José Celso Rocha,,3,0,0,Reproductive Biology and Fertility,"Public Health, Environmental and Occupational Health",,2019–2021,O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst m
Universidade Estadual Paulista (Unesp),Anderson Antônio Carvalho Alves,,3,0,2,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Benchmarking machine learning and parametric methods for genomic prediction of feed effici
Universidade Estadual Paulista (Unesp),Rodrigo Jensen,,2,0,0,COVID-19 diagnosis using AI,"Radiology, Nuclear Medicine and Imaging",,2024–2024,Prediction of COVID-19 patients’ admission to the Intensive Care Unit based on the precisi
Universidade Estadual Paulista (Unesp),Rebeka Magalhães da Costa,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Universidade Estadual Paulista (Unesp),Douglas Silva Domingues,,2,0,0,Chromosomal and Genetic Variations,Plant Science,,2020–2020,TERL: classification of transposable elements by convolutional neural networks
Universidade Estadual Paulista (Unesp),Eleonora Inácio Fernandez,,2,0,0,Reproductive Biology and Fertility,"Public Health, Environmental and Occupational Health",,2020–2021,O-121 Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst m
Universidade Estadual de Londrina,Edna Maria Vissoci Reiche,,3,1,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2021–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Marcell Alysson Batisti Lozovoy,,3,0,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2021–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Andréa Name Colado Simão,,2,1,0,Acute Ischemic Stroke Management,Epidemiology,,2021–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Tainah Mendes Ahrens,,2,0,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2022–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Walton Luiz Del Tedesco,,2,0,2,COVID-19 Clinical Research Studies,Infectious Diseases,,2022–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Zuleica Naomi Tano,,2,0,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2022–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Beatriz Rabello Espinosa,,2,0,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2022–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Guilherme Lerner Trigo,,2,0,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2022–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Estadual de Londrina,Tiago Danelli,,2,0,0,COVID-19 Clinical Research Studies,Infectious Diseases,,2022–2025,Precision medicine and machine learning to predict critical disease and death due to Coron
Universidade Federal de Goiás,Bruno J. Neves,PI/head,4,2,1,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2025,"Semantic-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti– <i>Leishmania infan"
Universidade Federal de Goiás,Carolina Horta Andrade,PI/head,4,2,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2023,Exploring new horizons: Empowering computer-assisted drug design with few-shot learning
Universidade Federal de Goiás,Telma Woerle de Lima,,2,1,0,Protein Structure and Dynamics,Molecular Biology,,2022–2023,Exploring new horizons: Empowering computer-assisted drug design with few-shot learning
Universidade Federal de Goiás,Vinícius Alexandre Fiaia Costa,,2,0,2,Research on Leishmaniasis Studies,"Public Health, Environmental and Occupational Health",,2025–2026,"Multiscale-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti- <i>Leishmania inf"
Universidade Federal de Goiás,José Teófilo Moreira‐Filho,,2,0,1,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2022,Artificial intelligence systems for the design of magic shotgun drugs
Universidade Federal de Goiás,Gustavo Santos Sandes Felizardo,,2,0,0,Research on Leishmaniasis Studies,"Public Health, Environmental and Occupational Health",,2025–2026,"Multiscale-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti- <i>Leishmania inf"
Universidade Federal de Goiás,Clarissa Alves Carneiro Bernardes,,2,0,0,Research on Leishmaniasis Studies,"Public Health, Environmental and Occupational Health",,2025–2026,"Multiscale-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti- <i>Leishmania inf"
Universidade Federal do Rio Grande do Sul,Márcio Dorn,PI/head,4,4,0,Gene expression and cancer classification,Molecular Biology,,2018–2025,Deep learning methods and applications in single-cell multimodal data integration
Universidade Federal do Rio Grande do Sul,Mariana Recamonde‐Mendoza,PI/head,3,3,0,Cancer Genomics and Diagnostics,Cancer Research,,2022–2024,Predicting Cancer Driver Genes: Leveraging Graph Convolutional Networks and Ensemble Learn
Universidade Federal do Rio Grande do Sul,Bruno Iochins Grisci,,3,0,3,Gene expression and cancer classification,Molecular Biology,,2018–2021,Relevance aggregation for neural networks interpretability and knowledge discovery on tabu
Universidade Federal do Rio Grande do Sul,Murilo Foppa,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2024–2025,Development and multinational validation of an ensemble deep learning algorithm for detect
Universidade Federal do Rio Grande do Sul,Renan Soares de Andrades,,2,0,2,Cancer Genomics and Diagnostics,Cancer Research,,2022–2024,Predicting Cancer Driver Genes: Leveraging Graph Convolutional Networks and Ensemble Learn
Universidade Federal do Rio Grande do Sul,Alana Castro Panzenhagen,,2,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2022,Site effects how-to and when: An overview of retrospective techniques to accommodate site 
Universidade Federal do Rio Grande do Sul,Bruno César Feltes,,2,0,0,Gene expression and cancer classification,Molecular Biology,,2018–2018,Neuroevolution as a tool for microarray gene expression pattern identification in cancer r
Ministry of Culture,Xianglu Xiao,,3,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2025,Artificial intelligence in drug development for delirium and Alzheimer’s disease
Ministry of Culture,Hongming Chen,PI/head,2,2,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2023,A Novel Atom Pair Attention Methodology for MolecularRepresentation Learning
Ministry of Culture,Minhao Wang,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2023,A Novel Atom Pair Attention Methodology for MolecularRepresentation Learning
Ministry of Culture,Zhangming Niu,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2023–2025,Artificial intelligence in drug development for delirium and Alzheimer’s disease
Ministry of Culture,Yinghui Jiang,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2023,A Novel Atom Pair Attention Methodology for MolecularRepresentation Learning
Ministry of Culture,Xurui Jin,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2023,A Novel Atom Pair Attention Methodology for MolecularRepresentation Learning
Ministry of Culture,Xinchen Wan,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2023,A Novel Atom Pair Attention Methodology for MolecularRepresentation Learning
Ministry of Culture,Miru Tang,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2023,A Novel Atom Pair Attention Methodology for MolecularRepresentation Learning
Universidade Federal de Santa Catarina,José Luís Guedes dos Santos,PI/head,2,2,0,COVID-19 diagnosis using AI,"Radiology, Nuclear Medicine and Imaging",,2024–2024,Prediction of COVID-19 patients’ admission to the Intensive Care Unit based on the precisi
Universidade Federal de Santa Catarina,Danilo Silva,,2,1,0,Dementia and Cognitive Impairment Research,Psychiatry and Mental health,,2023–2023,Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age B
Universidade Federal de Santa Catarina,Alacoque Lorenzini Erdmann,,2,0,0,COVID-19 diagnosis using AI,"Radiology, Nuclear Medicine and Imaging",,2024–2024,Prediction of COVID-19 patients’ admission to the Intensive Care Unit based on the precisi
Universidade Federal de Santa Catarina,Néstor Roqueiro,,2,0,0,Neural dynamics and brain function,Cognitive Neuroscience,,2023–2024,Empirical modeling and prediction of neuronal dynamics
Universidade Federal de Santa Catarina,Elisiane Lorenzini,,2,0,0,COVID-19 diagnosis using AI,"Radiology, Nuclear Medicine and Imaging",,2024–2024,Prediction of COVID-19 patients’ admission to the Intensive Care Unit based on the precisi
Universidade Federal de Santa Catarina,Bruno Machado Pacheco,,2,0,2,Dementia and Cognitive Impairment Research,Psychiatry and Mental health,,2023–2023,Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age B
Universidade Federal de Santa Catarina,Greici Capellari Fabrizzio,,2,0,2,COVID-19 diagnosis using AI,"Radiology, Nuclear Medicine and Imaging",,2024–2024,Prediction of COVID-19 patients’ admission to the Intensive Care Unit based on the precisi
Universidade Federal de Santa Catarina,Victor Hugo Rocha de Oliveira,,2,0,0,Dementia and Cognitive Impairment Research,Psychiatry and Mental health,,2023–2023,Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age B
Universidade Federal de São Carlos,Ricardo Cerri,PI/head,4,4,0,Machine Learning in Bioinformatics,Molecular Biology,,2018–2021,Investigating deep feedforward neural networks for classification of transposon-derived pi
Universidade Federal de São Carlos,Manolo F. Perez,,3,0,0,Geology and Paleoclimatology Research,Atmospheric Science,,2020–2022,Congruent evolutionary responses of European steppe biota to late Quaternary climate chang
Universidade Federal de São Carlos,Alisson Hayasi da Costa,,3,0,3,Machine Learning in Bioinformatics,Molecular Biology,,2018–2021,Investigating deep feedforward neural networks for classification of transposon-derived pi
Universidade Federal de São Carlos,Ricardo J. Ferrari,PI/head,2,2,0,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2022–2024,Editorial: Deep learning and neuroimage processing in understanding neurological diseases
Universidade Federal de São Carlos,Marcelo de Bello Cioffi,,2,1,0,Identification and Quantification in Food,Molecular Biology,,2020–2025,Integrative taxonomy using traits and genomic data for Species Delimitation with Deep lear
Universidade Federal de São Carlos,Jennifer Jéssica Bruscadin,,2,0,0,Animal Genetics and Reproduction,Genetics,,2025–2025,An integrated multi-tissue atlas of epigenomic landscapes and regulatory elements in the b
Universidade Federal do Rio Grande,Jesus Antonio Alvarado-Huayhuaz,,4,0,0,SARS-CoV-2 and COVID-19 Research,Infectious Diseases,,2025–2025,CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13
Universidade Federal do Rio Grande,Adriano Velasque Werhli,,4,0,0,SARS-CoV-2 and COVID-19 Research,Infectious Diseases,,2025–2025,CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13
Universidade Federal do Rio Grande,Oscar E. A. Arce,,4,0,0,SARS-CoV-2 and COVID-19 Research,Infectious Diseases,,2025–2025,CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13
Universidade Federal do Rio Grande,Karina Machado,,4,0,0,SARS-CoV-2 and COVID-19 Research,Infectious Diseases,,2025–2025,CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13
Universidade Federal do Rio de Janeiro,Beatriz Neves,,7,0,0,"Conservation, Biodiversity, and Resource Management",Global and Planetary Change,,2021–2022,Madagascar's extraordinary biodiversity: a data repository
Universidade Federal do Rio de Janeiro,Matheus G.C. Nogueira,,7,0,0,"Conservation, Biodiversity, and Resource Management",Global and Planetary Change,,2021–2022,Madagascar's extraordinary biodiversity: a data repository
Universidade Federal do Rio de Janeiro,Stevens K. Rehen,,2,0,0,Pluripotent Stem Cells Research,Molecular Biology,,2019–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
Fundação Oswaldo Cruz,Fabrício Alves Barbosa da Silva,PI/head,3,3,0,Machine Learning in Bioinformatics,Molecular Biology,,2025–2026,Harnessing interpretable deep learning to predict resistance in Klebsiella pneumoniae
Fundação Oswaldo Cruz,Floriano Paes Silva,PI/head,3,3,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2021,De novo design and bioactivity prediction of SARS-CoV-2 main protease inhibitors using rec
Fundação Oswaldo Cruz,Ana Carolina Ramos Guimarães,,2,1,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2025,Benchmarking Machine Learning Models for HIV-1 Protease Inhibitor Resistance Prediction: I
Fundação Oswaldo Cruz,Rocío Lucía Beatriz Riveros Maidana,,2,0,1,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2025,Benchmarking Machine Learning Models for HIV-1 Protease Inhibitor Resistance Prediction: I
Fundação Oswaldo Cruz,Washington L. C. dos‐Santos,,2,0,0,Chronic Kidney Disease and Diabetes,Nephrology,,2023–2024,Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Imp
Fundação Oswaldo Cruz,Natiele Carla da Silva Ferreira,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2022–2026,Modeling the P2X7 receptor: a comparative analysis of conventional methods and AlphaFold
Universidade Federal da Bahia,Thaise G. L. de O. Toutain,,4,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2025,Revealing patterns in major depressive disorder with machine learning and networks
Universidade Federal da Bahia,Leandro Martins de Freitas,PI/head,2,2,0,Pancreatic and Hepatic Oncology Research,Oncology,,2019–2020,PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based o
Universidade Federal da Bahia,Luciano Oliveira,,2,1,0,Chronic Kidney Disease and Diabetes,Nephrology,,2023–2024,Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Imp
Universidade Federal da Bahia,Cristina Padre Cardoso,,2,0,0,Pancreatic and Hepatic Oncology Research,Oncology,,2019–2020,PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based o
Universidade Federal da Bahia,Palloma Porto Almeida,,2,0,2,Pancreatic and Hepatic Oncology Research,Oncology,,2019–2020,PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based o
Universidade Federal da Bahia,Eduardo Pondé de Sena,,2,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2023,Analysis of functional connectivity using machine learning and deep learning in different 
Universidade Federal do Espírito Santo,Rodolfo da Silva Villaça,PI/head,2,2,0,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade Federal do Espírito Santo,Iran F. Ribeiro,,2,0,0,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade Federal do Espírito Santo,Vinícius F. S. Mota,,2,0,0,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade Federal do Espírito Santo,Hélder R. O. Rocha,,2,0,0,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade Federal do Espírito Santo,Pablo Rafael Neves Marciano,,2,0,0,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade Federal do Espírito Santo,Yrui Giovan Neris,,2,0,0,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade Federal do Espírito Santo,Eduardo Montagner de Moraes Sarmento,,2,0,2,Energy Load and Power Forecasting,Electrical and Electronic Engineering,,2023–2023,Forecasting energy power consumption using federated learning in edge computing devices
Universidade de Brasília,Guarino Rinaldi Colli,,3,0,0,Genetic diversity and population structure,Genetics,,2020–2024,Genetic structure and landscape effects on gene flow in the Neotropical lizard Norops bras
Universidade de Brasília,Alexandra Maria dos Santos Carvalho,,2,0,0,Research on Leishmaniasis Studies,"Public Health, Environmental and Occupational Health",,2025–2026,"Multiscale-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti- <i>Leishmania inf"
Universidade de Brasília,Sébastien Charneau,,2,0,0,Research on Leishmaniasis Studies,"Public Health, Environmental and Occupational Health",,2025–2026,"Multiscale-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti- <i>Leishmania inf"
Universidade de Brasília,Izabela Marques Dourado Bastos,,2,0,0,Research on Leishmaniasis Studies,"Public Health, Environmental and Occupational Health",,2025–2026,"Multiscale-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti- <i>Leishmania inf"
Universidade de Brasília,Murillo Edson de Carvalho Souza,,2,0,2,Bioinformatics and Genomic Networks,Molecular Biology,,2024–2024,Biological Networks and Computational Graphs
Núcleo de Pesquisas Aplicadas (Brazil),Lúcia Galvão de Albuquerque,PI/head,2,2,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Núcleo de Pesquisas Aplicadas (Brazil),Gerardo Alves Fernandes Júnior,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Núcleo de Pesquisas Aplicadas (Brazil),Rebeka Magalhães da Costa,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Núcleo de Pesquisas Aplicadas (Brazil),Roberto Carvalheiro,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Núcleo de Pesquisas Aplicadas (Brazil),Anderson Antônio Carvalho Alves,,2,0,2,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Universidade Federal da Paraíba,Luciana Scotti,,4,1,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2018–2021,"MOL2NET-07 (Call For Papers), International Conference on Multidisciplinary Sciences, ISSN"
Universidade Federal da Paraíba,Alejandro Speck‐Planche,PI/head,3,3,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2021–2021,QSAR Modeling for Multi-Target Drug Discovery: Designing Simultaneous Inhibitors of Protei
Universidade Federal da Paraíba,Marcus Tullius Scotti,,3,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2021–2021,"MOL2NET-07, Conference on Molecular, Biomedical, and Computational Sciences and Engineerin"
Universidade Federal do Pará,Ronnie Alves,PI/head,2,2,0,Evolutionary Algorithms and Applications,Artificial Intelligence,yes,2020–2025,Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembl
Universidade Federal do Pará,Edian F. Franco,,2,0,2,Gene expression and cancer classification,Molecular Biology,,2021–2021,Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Mu
Universidade Federal do Pará,Hieda Adriana Nascimento Silva,,2,0,2,Water Quality Monitoring Technologies,Water Science and Technology,,2019–2020,Wavelet Transform and Deep Learning approach to predict physico chemical parameters of wat
Universidade Federal do Pará,Iracilda Sampaio,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal do Pará,André M. Ribeiro-dos-Santos,,2,0,2,Genomics and Chromatin Dynamics,Molecular Biology,,2025–2025,Iterative improvement of deep learning models using synthetic regulatory genomics
Universidade Federal do Piauí,Joel J. P. C. Rodrigues,PI/head,4,4,0,COVID-19 diagnosis using AI,Molecular Biology,,2020–2025,Differentially Private Federated Learning for Genomic-Based Stomach Adenocarcinoma Detecti
Universidade Federal do Piauí,Antônio Oseas de Carvalho Filho,,3,1,1,AI in cancer detection,Artificial Intelligence,,2018–2025,GA-Channel-Xception: Genetic Algorithm-Based Color Channel Selection for Deep Learning Det
Universidade Federal do Piauí,Joel J. P. C. Rodrigues,,2,0,0,AI in cancer detection,Artificial Intelligence,,2025–2025,"AI In Breast, Ovarian, And Uterine Cancer Treatment: A Revolution In Genomics"
Instituto Nacional de Pesquisas da Amazônia,Fernanda P. Werneck,,3,0,0,Genetic diversity and population structure,Genetics,,2020–2024,Genetic structure and landscape effects on gene flow in the Neotropical lizard Norops bras
Instituto Nacional de Pesquisas da Amazônia,João Valsecchi,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Instituto Nacional de Pesquisas da Amazônia,Maria Nazareth Ferreira da Silva,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Estadual do Maranhão,Thaís Guedes,,7,0,0,"Conservation, Biodiversity, and Resource Management",Global and Planetary Change,,2021–2022,Madagascar's extraordinary biodiversity: a data repository
Universidade Federal de Pernambuco,Wellington Pinheiro dos Santos,PI/head,3,2,1,Autism Spectrum Disorder Research,Cognitive Neuroscience,,2025–2026,"Editorial: Machine learning and applied neuroscience, volume II"
Universidade Federal de Pernambuco,Maí­ra Araújo de Santana,,2,0,0,Autism Spectrum Disorder Research,Cognitive Neuroscience,,2025–2026,Quantum Deep Wavelet Neural Networks for EEG-Based Early Autism Detection
Universidade Federal de Pernambuco,Giselle Machado Magalhães Moreno,,2,0,0,Autism Spectrum Disorder Research,Cognitive Neuroscience,,2025–2026,Quantum Deep Wavelet Neural Networks for EEG-Based Early Autism Detection
Universidade Federal de Rondônia,Gabi Nunes Silva,,5,0,0,Genetic and phenotypic traits in livestock,Genetics,,2018–2022,Genomic prediction through machine learning and neural networks for traits with epistasis
Universidade Federal de Rondônia,Mariluce Rezende Messias,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal de Pelotas,Frederico Schmitt Kremer,,6,1,0,SARS-CoV-2 and COVID-19 Research,Infectious Diseases,,2025–2025,"ReVarcine: novel transformer-based models for signal peptide, subcellular location, alpha "
Universidade Federal de São Paulo,Marcos G. Quiles,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Universidade Federal de São Paulo,Patrícia de Carvalho Aguiar,,2,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2023,Analysis of functional connectivity using machine learning and deep learning in different 
Universidade Federal de São Paulo,Thiago Gonçalves dos Santos Martins,,2,0,0,Retinal Imaging and Analysis,"Radiology, Nuclear Medicine and Imaging",,2019–2020,Self-supervised retinal thickness prediction enables deep learning from unlabelled data to
Universidade Federal do Amazonas,Tomas Hrbek,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal do Amazonas,Izeni Pires Farias,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal do Amazonas,Fabrício Bertuol,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal do Maranhão,Geraldo Bráz,,2,0,0,Retinal Imaging and Analysis,"Radiology, Nuclear Medicine and Imaging",,2025–2025,Evaluation of the vision mamba model for detecting diabetic retinopathy
Universidade Federal do Maranhão,Aristófanes Corrêa Silva,,2,0,0,Retinal Imaging and Analysis,"Radiology, Nuclear Medicine and Imaging",,2018–2018,Convolutional neural network and texture descriptor-based automatic detection and diagnosi
Universidade Federal do Maranhão,Lucas Cardoso Marinho,,2,0,0,Genomics and Phylogenetic Studies,Molecular Biology,,2024–2025,A composite universal DNA signature for the tree of life
Universidade de Caxias do Sul,Scheila de Ávila e Silva,PI/head,4,2,0,"Genetics, Bioinformatics, and Biomedical Research",Molecular Biology,,2019–2022,A Survey of Biological Data in a Big Data Perspective
Universidade de Caxias do Sul,Gabriel Dall’Alba,,2,0,1,"Genetics, Bioinformatics, and Biomedical Research",Molecular Biology,,2019–2022,A Survey of Biological Data in a Big Data Perspective
Conselho Nacional de Desenvolvimento Científico e Tecnológico,Lúcia Galvão de Albuquerque,PI/head,3,3,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Benchmarking machine learning and parametric methods for genomic prediction of feed effici
Conselho Nacional de Desenvolvimento Científico e Tecnológico,Roberto Carvalheiro,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2020,Genome‐enabled prediction of reproductive traits in Nellore cattle using parametric models
Vale Technological Institute,Ronnie Alves,PI/head,3,3,0,Evolutionary Algorithms and Applications,Artificial Intelligence,yes,2020–2025,Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembl
Vale Technological Institute,Rafael Cabral Borges,,2,0,0,Evolutionary Algorithms and Applications,Artificial Intelligence,yes,2024–2025,Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembl
Agronomical Institute of Campinas,Erivaldo José Scaloppi,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Agronomical Institute of Campinas,Paulo de Souza Gonçalves,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Brazilian Biosciences National Laboratory,Daniela Barretto Barbosa Trivella,,2,1,0,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2019–2023,Lig-PCDB: Labeled Databases of X-ray Ligands Images in 3D Point Clouds and Validated Deep 
Brazilian Biosciences National Laboratory,Cristina F. Bazzano,,2,0,2,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2019–2023,Lig-PCDB: Labeled Databases of X-ray Ligands Images in 3D Point Clouds and Validated Deep 
D’Or Institute for Research and Education,Juliana Nascimento,,2,0,1,Pluripotent Stem Cells Research,Molecular Biology,,2019–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
D’Or Institute for Research and Education,Stevens K. Rehen,,2,0,0,Pluripotent Stem Cells Research,Molecular Biology,,2019–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
Hospital Universitário da Universidade de São Paulo,Marcelo Finger,,2,1,0,Non-Invasive Vital Sign Monitoring,Biomedical Engineering,,2024–2025,Contrasting Deep Learning Audio Models for Direct Respiratory Insufficiency Detection Vers
Hospital Universitário da Universidade de São Paulo,Éster Cerdeira Sabino,,2,0,0,Non-Invasive Vital Sign Monitoring,Biomedical Engineering,,2024–2025,Contrasting Deep Learning Audio Models for Direct Respiratory Insufficiency Detection Vers
Hospital de Clínicas de Porto Alegre,Mariana Recamonde‐Mendoza,PI/head,2,2,0,Cancer Genomics and Diagnostics,Cancer Research,,2022–2023,Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural
Hospital de Clínicas de Porto Alegre,Murilo Foppa,,2,0,0,ECG Monitoring and Analysis,Cardiology and Cardiovascular Medicine,,2024–2025,Development and multinational validation of an ensemble deep learning algorithm for detect
National Institute of Telecommunications,Joel J. P. C. Rodrigues,,2,1,0,Machine Learning in Bioinformatics,Molecular Biology,,2025–2025,"Machine‐learning Methods for Predicting Gene Function, Protein Structure and Genomic Varia"
National Institute of Telecommunications,Joel J. P. C. Rodrigues,,2,1,0,Gene Regulatory Network Analysis,Molecular Biology,,2025–2025,AI-powered generative frameworks for the rational design of synthetic genomes and next-gen
State University of Norte Fluminense,Leonardo Siqueira Glória,,2,1,0,Genetic Mapping and Diversity in Plants and Animals,Genetics,,2020–2022,Research Article Neural networks and dimensionality reduction to increase predictive effic
State University of Norte Fluminense,Antônio Teixeira do Amaral Júnior,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2024,Integrating deep learning for phenomic and genomic predictive modeling of Eucalyptus trees
Universidade Católica Dom Bosco,Marlon H. Cardoso,PI/head,2,2,0,Protein Structure and Dynamics,Molecular Biology,,2023–2026,Harnessing AI for Antimicrobial Peptide Innovation against Multidrug Resistance
Universidade Católica Dom Bosco,Octávio Luiz Franco,,2,1,0,Antimicrobial Peptides and Activities,Microbiology,,2023–2025,Paving the way for new antimicrobial peptides through molecular de-extinction
Universidade Federal Fluminense,Bruno Penna,,2,0,0,Machine Learning in Bioinformatics,Molecular Biology,,2025–2026,Harnessing interpretable deep learning to predict resistance in Klebsiella pneumoniae
Universidade Federal Fluminense,Thiago Pavoni Gomes Chagas,,2,0,0,Machine Learning in Bioinformatics,Molecular Biology,,2025–2026,Harnessing interpretable deep learning to predict resistance in Klebsiella pneumoniae
Universidade de Ribeirão Preto,Ricardo Silva,PI/head,2,2,0,Antibiotic Resistance in Bacteria,Molecular Medicine,,2024–2025,DeepSEA: an alignment-free explainable approach to annotate antimicrobial resistance prote
Universidade de Ribeirão Preto,Tiago Cabral Borelli,,2,0,2,Antibiotic Resistance in Bacteria,Molecular Medicine,,2024–2025,DeepSEA: an alignment-free explainable approach to annotate antimicrobial resistance prote
Universidade Estadual de Maringá,Carlos Alberto Scapim,PI/head,3,2,0,Genetic and phenotypic traits in livestock,Genetics,,2020–2023,Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep
Universidade do Estado do Amazonas,Kleber Padovani,,3,0,3,Evolutionary Algorithms and Applications,Artificial Intelligence,yes,2021–2025,Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembl
Brazilian Agricultural Research Corporation,Eveline Teixeira Caixeta,,2,1,0,Genetics and Plant Breeding,Plant Science,,2020–2022,Marker effects and heritability estimates using additive-dominance genomic architectures v
Brazilian Center for Research in Energy and Materials,Daniela Barretto Barbosa Trivella,,2,1,0,Radiomics and Machine Learning in Medical Imaging,"Radiology, Nuclear Medicine and Imaging",,2019–2023,Lig-PCDB: Labeled Databases of X-ray Ligands Images in 3D Point Clouds and Validated Deep 
Escola Superior de Propaganda e Marketing,Sérgio Assunção Monteiro,,2,0,2,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2026–2026,Hybrid Computational Modeling with Multi-Level Validation Identifies TK1–VIM as a Robust T
Faculdade de Ciências Médicas da Santa Casa de São Paulo,A. Daoud,,2,0,0,Glioma Diagnosis and Treatment,Genetics,,2025–2025,CSF1R and macrophage infiltration: Integrated magnetic resonance imaging radiomics and dee
Faculdade de Medicina do ABC,Marcelo Rodrigues Bacci,,2,0,2,Acute Kidney Injury Research,Nephrology,,2023–2023,A systematic review of artificial intelligence algorithms for predicting acute kidney inju
Federal University of São João del-Rei,Alex Gutterres Taranto,PI/head,2,2,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2023–2023,Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learn
Fundação de Amparo à Pesquisa do Estado do Amazonas,João Valsecchi,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Hospital Israelita Albert Einstein,Patrícia de Carvalho Aguiar,,2,0,0,Functional Brain Connectivity Studies,Cognitive Neuroscience,,2022–2023,Analysis of functional connectivity using machine learning and deep learning in different 
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo,Luiz Alberto Valente Soares,,2,0,0,Single-cell and spatial transcriptomics,Molecular Biology,,2024–2025,Deconvolution of cell types and states in spatial multiomics utilizing TACIT
Instituto Brasileiro de Mercado de Capitais,Satyam Priyadarshi,PI/head,2,2,0,—,—,,2026–2026,DREAM-RNN K562 Model Predictor (Rafi et al. 2024) using the Genomic API for Model Evaluati
Instituto Federal do Maranhão,Dr. S gurumoorthy Archana Salim,,2,0,2,EEG and Brain-Computer Interfaces,Cognitive Neuroscience,,2026–2026,Alcohol Use Disorder Prediction from EEG Using AI Algorithms: A Comprehensive Review
Johnson & Johnson (Brazil),Mazen Ahmad,,2,1,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2025–2025,MolAgent: Biomolecular Property Estimation in the Agentic Era
Military Institute of Engineering,Tanos C. C. França,,2,0,2,Protein Structure and Dynamics,Molecular Biology,,2023–2024,Molecular Dynamics of Outer Membrane-Embedded Polysaccharide Secretion Porins Reveals Clos
National Council for Scientific and Technological Development,Daniel Martins‐de‐Souza,,2,1,0,Pluripotent Stem Cells Research,Molecular Biology,,2019–2022,"Nootropic effects of LSD: Behavioral, molecular and computational evidence"
Pontifícia Universidade Católica do Paraná,Roberto H. Herai,,2,0,0,Genetics and Neurodevelopmental Disorders,Genetics,,2021–2022,Impact of alcohol exposure on neural development and network formation in human cortical o
Pontifícia Universidade Católica do Rio de Janeiro,Marcelo Gattass,PI/head,2,2,0,Retinal Imaging and Analysis,"Radiology, Nuclear Medicine and Imaging",,2018–2018,Convolutional neural network and texture descriptor-based automatic detection and diagnosi
Prefeitura Municipal de Vitória,Cristina Padre Cardoso,,2,0,0,Pancreatic and Hepatic Oncology Research,Oncology,,2019–2020,PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based o
Universidade Brasil,Richard Murdoch Montgomery,,2,0,2,Genomics and Phylogenetic Studies,Molecular Biology,,2025–2025,A Combined Partial and Stochastic Differential Equations Bayesian Framework for Deep-Time 
Universidade Católica de Brasília,Octávio Luiz Franco,,2,1,0,Antimicrobial Peptides and Activities,Microbiology,,2023–2025,Paving the way for new antimicrobial peptides through molecular de-extinction
Universidade Estadual da Paraíba,Francisco Jaime Bezerra Mendonça,,2,0,0,Angiogenesis and VEGF in Cancer,Molecular Biology,,2021–2024,"Potential inhibitors of VEGFR1, VEGFR2, and VEGFR3 developed through Deep Learning for the"
Universidade Estadual de Feira de Santana,Ângelo Duarte,,2,0,0,Chronic Kidney Disease and Diabetes,Nephrology,,2023–2024,Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Imp
Universidade Evangelica de Goiás,Bruno J. Neves,,2,0,1,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2020–2020,In silico Strategies to Support Fragment-to-Lead Optimization in Drug Discovery
Universidade Federal de Alagoas,Dheiver Santos,,2,0,2,Dementia and Cognitive Impairment Research,Psychiatry and Mental health,,2025–2025,Multimodal Deep Learning for Automated Alzheimer's Diagnosis: Integrating Volumetric MRI a
Universidade Federal de Juiz de Fora,Renato Nery Soriano,,2,1,0,—,—,,2026–2026,Artificial Intelligence (AI)‐Enabled Nanocarriers in Cancer Diagnosis
Universidade Federal de Lavras,Victor Hugo Buttrós,,2,0,2,Plant-Microbe Interactions and Immunity,Plant Science,,2025–2025,From Petri Dishes to Deep Learning Networks: New Roads in Azospirillum Research with Artif
Universidade Federal de Mato Grosso,Rogério Vieira Rossi,,2,0,0,Genomics and Rare Diseases,Genetics,,2023–2023,The landscape of tolerated genetic variation in humans and primates
Universidade Federal de Uberlândia,Felipe Piana Vendramell Ferreira,,2,0,0,Structural Load-Bearing Analysis,Civil and Structural Engineering,,2024–2024,Machine learning-driven web-post buckling resistance prediction for high-strength steel be
Universidade Federal do ABC,Rafaela Molina de Angelo,,2,0,0,Computational Drug Discovery Methods,Computational Theory and Mathematics,,2024–2024,Machine Learning and Neural Network Methods Applied to Drug Discovery
Universidade Federal do Ceará,Lincoln Moura de Oliveira,,2,0,0,COVID-19 diagnosis using AI,"Radiology, Nuclear Medicine and Imaging",,2024–2024,Prediction of COVID-19 patients’ admission to the Intensive Care Unit based on the precisi
Universidade Federal do Paraná,Jeroniza Nunes Marchaukoski,,2,0,0,Genomics and Phylogenetic Studies,Molecular Biology,,2018–2024,NifFinder: improved Nif protein prediction using SWeeP vectors and neural networks
Universidade Potiguar,Eduardo Mello,,2,0,2,Fractal and DNA sequence analysis,Molecular Biology,,2026–2026,THP Genome: Harmonic Coherence Analysis from DNA to Neural Networks
Universidade São Francisco,Livia Moura Souza,,2,0,0,Genetic and phenotypic traits in livestock,Genetics,,2022–2022,A divide-and-conquer approach for genomic prediction in rubber tree using machine learning
Universidade de Fortaleza,Victor Hugo C. de Albuquerque,,2,1,0,Big Data and Business Intelligence,Management Information Systems,yes,2018–2020,Information Management and Machine Intelligence
Universidade de Pernambuco,Jordana Seixas,,2,0,1,Autism Spectrum Disorder Research,Cognitive Neuroscience,,2025–2026,Quantum Deep Wavelet Neural Networks for EEG-Based Early Autism Detection