Description
In this talk, I explore the transformative role of AI and ML in tackling some of the most critical challenges in computational biology. I will discuss how AI/ML, as powerful tools, offer solutions to decode complex biological systems, predict drug interactions, and advance cancer research. Highlighting the synergy between innovative methods and practical applications, this presentation focuses on two key research areas: identifying critical genes and pathways in cancer using deep learning and developing a novel framework for drug-drug interaction prediction using biological networks. By integrating cutting-edge AI/ML techniques with real-world challenges, we aim to contribute to shaping the future of life sciences.
