Artificial Intelligence in Biology – Self Learning
The syllabus covers ⦁ Introduction to AI and Its Relevance in Biology ⦁ Overview of AI, machine learning (ML), and deep learning. ⦁ Applications in biology: genomics, proteomics, drug discovery, and imaging. ⦁ Case studies: AI in protein folding (e.g., AlphaFold), disease prediction. ⦁ Reading: Review papers on AI in…
