Explore the complexities of Type-2 Diabetes in India through this informative lecture by V Mohan. Delve into the heterogeneous nature of the disease as part of the "Machine Learning for Health and Disease" program organized by the International Centre for Theoretical Sciences. Learn about the various factors contributing to the diversity of Type-2 Diabetes presentations in the Indian population. Gain insights into how machine learning techniques can be applied to better understand and predict outcomes for diabetes patients based on clinical and lifestyle parameters. This lecture is part of a broader program aimed at bridging the gap between mathematical modeling and clinical problems, making it valuable for both computational experts and healthcare professionals interested in leveraging data-driven approaches to improve diabetes care and management in India.