| 2024 | A Closed-Loop Deep Brain Stimulation Biomedical Model of Parkinson's Disease. Timothe Petitjean, Hugo Millet, Mariana F. P. Araújo, Renan Cipriano Moioli, Patrícia Amâncio Vargas, Caetano Mazzoni Ranieri |
| 2024 | A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. Andrea Tangherloni, Paolo Cazzaniga, Nicolò Stranieri, Francesca M. Buffa, Marco S. Nobile |
| 2024 | A Machine Learning algorithm for Predicting Translation Initiation Start Positions. Stefanos Digenis, Dimitris Grigoriadis, Marios Miliotis, Artemis G. Hatzigeorgiou |
| 2024 | A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. Jorge Cubillos-Chaparro, Márcio Dorn, Manuel Villalobos-Cid, Mario Inostroza-Ponta |
| 2024 | A comprehensive study of databases to assess the reliability of metagenomic tools. Inês Branco Martins, Jorge Miguel Silva, João Rafael Almeida |
| 2024 | AGED-ViT: A Novel Transformer-Based Framework for Diagnosis of Alzheimer's Disease by Leveraging Gene Expression Data. Albert Guo, Megan Fowler, Kay C. Wiese |
| 2024 | An Approach for Modeling and Analysis of Insulin Biosynthesis using Petri Nets. Maria Leandra Guateque, Antonio Basílio de Miranda, Marcos Catanho, Edward Hermann Haeusler, Sérgio Lifschitz |
| 2024 | Artificial Neural Networks for the Rapid Prediction of Possible Ferroptosis Inducers Using the GPx4 Enzyme. Jesus Antonio Alvarado-Huayhuaz, Miquéias Amorim Santos Silva, Elvis Mauricio Jimenez Peña, Joel Claudio Rengifo Maraví, Angella M. Cordova-Muñoz, Karina dos Santos Machado |
| 2024 | Classification of LTR Retrotransposons via Interaction Prediction. Silvana C. S. Cardoso, Douglas Silva Domingues, Alexandre Rossi Paschoal, Carlos N. Fischer, Ricardo Cerri |
| 2024 | Clustering density based gene expression data in the mouse brainstem and comparison to actual neuroanatomy. Colin Buenvenida, Brandon Kong, Shane Jung, Kaiwen Kam, Jacob D. Furst, Thiruvarangan Ramaraj |
| 2024 | Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs. Bhumika Gupta, Pralaypati Ta, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2024 | Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis. Sören Richard Stahlschmidt, Benjamin Ulfenborg, Göran Falkman, Jane Synnergren |
| 2024 | Driving Evolution Towards Discovery of Patterns in Sets of Weakly-Conserved DNA Sequences. Michael Dubé, Sheridan K. Houghten, Steffen P. Graether |
| 2024 | EURYALE: A versatile Nextflow pipeline for taxonomic classification and functional annotation of metagenomics data. João Vitor Ferreira Cavalcante, Iara Dantas de Souza, Diego A. A. Morais, Rodrigo J. S. Dalmolin |
| 2024 | Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations. Zachary Schwehr |
| 2024 | Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images. Nazar Zaki, Anusuya Krishnan, Rafat Damseh, Wenjian Qin, Ayham A. Zaitouny, Isaias Ghebrehiwet |
| 2024 | Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. Ngoc Do, Daniel B. Hier, Tayo Obafemi-Ajayi |
| 2024 | Forest-based Evolutionary Algorithm for Reconstructing Boolean Gene Regulatory Networks. Nicolò Stranieri, Francesca M. Buffa, Andrea Tangherloni |
| 2024 | Generating Models of Human Gait in Patients with Parkinson's Disease using Genetic Programming. Tristan Navikevicius, Lígia Reis Nóbrega, Sheridan K. Houghten, Adriano de Oliveira Andrade, Adriano Alves Pereira |
| 2024 | IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024, Natal, Brazil, August 27-29, 2024 |
| 2024 | Immunity Vanishing Act: Epidemic Variant and Immunity Analysis via Evolutionary Computation. Farhana Yasmeen, Michael Dubé, Sheridan K. Houghten |
| 2024 | Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability. Sai Balaji, Christopher Sun, Anaiy Somalwar |
| 2024 | Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou |
| 2024 | Leveraging protein-protein interactions in phenotype prediction through graph neural networks. Riccardo Smeriglio, Joana Rosell-Mirmi, Petia Radeva, Jordi Abante |
| 2024 | Machine Learning Identifies Novel MicroRNA Biomarkers Predictive for Gastric Cancer. Kedar Chintalapati |
| 2024 | Machine Learning and Gut Microbiome for Breast Cancer Screening. Priyamvada Daga, Mai Oudah |
| 2024 | Machine Learning-Enhanced Molecular Dynamics Analysis of Residue Variant Effects on Human ACE2 and Furin Protein Interactions with SARS-CoV-2 Spike. Felipe James de Almeida Vasquez, Arthur Scorsolini Fares, Silvana Giuliatti |
| 2024 | Methods for Analyzing Swallowing Sound in Dysphagia Care: A Telemedicine Approach. Ignacio Sánchez-Gendriz, Ingridy M. P. Barbalho, Felipe Fernandes, Milena Magalhães Augusto, Maria de Jesus Gonçalves, Ivonaldo L. Barbosa Lima, Danilo Alves Pinto Nagem, Gleyson José Pinheiro Caldeira Silva, Ana Raquel Rodrigues Lindquist, Luca Freire Alves, Luiz Affonso Guedes, Ricardo Alexsandro de Medeiros Valentim |
| 2024 | Predicting Cancer Driver Genes: Leveraging Graph Convolutional Networks and Ensemble Learning. Renan Soares de Andrades, Mariana Recamonde Mendoza |
| 2024 | Predicting Metabolic Reactions with a Molecular Transformer for Drug Design Optimization. Silvia Multari, Riza Özçelik, Angelica Mazzolari, Marco Salvatore Nobile, Francesca Grisoni |
| 2024 | Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information. Rafael Stubs Parpinelli, Nicholas Wojeicchowski, Nilcimar Neitzel Will |
| 2024 | RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking. Oscar Emilio Arrúa Arce, Andrej Aderhold, Adriano Velasque Werhli, Karina dos Santos Machado |
| 2024 | RNA Generative Modeling With Tree Search. Stephen Obonyo, Nicolas Jouandeau, Dickson Owuor |
| 2024 | SMOTE for gene regulatory network sampling. Gonzalo A. Ruz, Nitesh V. Chawla |
| 2024 | SpatialVisVR: An Immersive, Multiplexed Medical Image Viewer with Contextual Similar-Patient Search. Jai Prakash Veerla, Partha Sai Guttikonda, Amir Hajighasemi, Jillur Rahman Saurav, Aarti Darji, Cody Tyler Reynolds, Mohamed Mohamed, Mohammad Sadegh Nasr, Helen H. Shang, Jacob M. Luber |
| 2024 | The Development of CanPrompt Strategy in Large Language Models for Cancer Care. Noman Ahmad, Ehsan Mamatjan, Tursun Wali, Yasin Mamatjan |
| 2024 | Towards Equitable Diagnosis: Bias Evaluation and Mitigation in Skin Cancer Classification. Eliana Raizman, Yiming Peng, Austin Deng |
| 2024 | Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes. Tony E. Astuhuaman Davila, Daniel B. Hier, Tayo Obafemi-Ajayi |
| 2024 | ViPeC: Vision transformer-based approach for Peptide-protein interface Classification. Lucas Moraes dos Santos, Diego C. B. Mariano, Raquel Cardoso de Melo Minardi |