Next-Generation Anticancer Discovery Connecting Fundamentals, In Silico, and AI Methods

Objectives

1. Understand the fundamentals of anticancer discovery
2. Explore in silico techniques used in anticancer research,
3. Learn the applications of artificial intelligence in anticancer discovery
4. Develop skills in integrating computational and AI-based tools to identify and evaluate potential anticancer molecules
5. Bridge computational findings with preclinical translation to advance candidate molecules toward experimental validation.

Target Audience

1. Postgraduate students (MS/PhD) in Pharmacology, Biotechnology, Biochemistry, Chemistry and related life sciences disciplines interested in computational and cancer research.
2. Early-career researchers and faculty working in cancer biology, drug design, or computational biology.
3. Clinicians and translational researchers interested in computational approaches for anticancer molecule discovery and precision oncology.