The ISinaLab is a leading interdisciplinary research group specializing in artificial intelligence, bioinformatics, and computational biology. Our mission is to harness data-driven science to uncover insights into complex diseases such as cancer, diabetes, and neurological disorders.
We integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) using advanced AI models to identify biomarkers, therapeutic targets, and disease-driving mechanisms. Our work emphasizes interpretable machine learning, graph neural networks, and knowledge graph-based systems to provide actionable insights in biomedical research.
By developing scalable, reproducible bioinformatics pipelines, we enable early diagnosis, drug repurposing, and personalized treatment strategies. We actively collaborate with hospitals, biotech firms, and academic institutions to translate computational discoveries into clinical innovations.
Our lab is committed to open science, reproducibility, and the training of future researchers. Through cross-disciplinary collaboration and AI-driven innovation, we aim to transform biological data into solutions for global health challenges.