Data driven approaches to leveraging food for better health | Dr. Ganesh Bagler | TEDxDAIICT
Have you ever wondered why do we combine ingredients in our recipes the way we do? Or for that matter, could we find scientific ways for altering diet to improve health? Revealing ‘culinary fingerprints’ of regional cuisines and role of spice as the molecular fulcrum of Indian recipes, such explorations of food are opening new avenues for development of divergent applications in the domains of nutrition and health. This talk describes one such direction towards application of machine learning for ‘personalized nutrition’ allowing us to leverage food as medicine.
Ganesh Bagler is an interdisciplinary researcher working in the areas of complex systems, computational biology, bioinformatics, in silico drug discovery, and applications of data science to health and medicine. His data-driven investigations aimed at probing patterns in traditional Indian recipes have led to the discovery of a novel food pairing phenomenon in Indian cuisine.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx