Projects

Project Description

A literature review (PubMed, Google Scholar) highlights significant advancements in genomics, precision medicine, and AI-powered tools like neural networks and chatbots for personalized lifestyle recommendations, leading to improved patient outcomes globally (12, 13, 14, 15, 16). However, challenges such as data privacy, user adherence, and scalability persist, particularly in diverse, real-world scenarios (17, 18). In India, while AI has shown promise in early diagnosis and risk prediction (19, 20, 21), digital interventions for CMDs have struggled to address India’s socio-cultural diversity, often leading to poor adherence (22, 23, 24). This underscores the need for AI solutions tailored to India’s unique context. Despite global progress, there is a lack of data on developing third-generation AI-powered prescriptions that integrate genomics, real-time analytics, and behavioral factors for precision medicine in CMDs. Bridging this gap (Fig. 1) is crucial for effective, culturally relevant healthcare strategies to improve adherence and outcomes in India. We therefore aim to develop a customised structured prescription, addressing diverse genetic, cultural, and sociodemographic factors using AI/ML tools. By integrating real-world application, it would bridge the critical gaps in CMD management, offering personalized, culturally relevant solutions to impact health outcomes.