TANUH (Translational AI for Networked Universal Healthcare) is an AI Centre of Excellence under the Ministry of Education, Government of India, hosted at the Indian Institute of Science, Bengaluru. The centre focuses on developing and deploying AI-driven diagnostics and decision-support tools for the early detection and management of high-burden non-communicable diseases (NCDs) across India. Key Features and Functionality: - AI-Driven Diagnostics: Development of tools for early and accurate detection of diseases such as oral cancer, diabetes, breast cancer, and mental health disorders. - Point-of-Care Design: Tools tailored for use in primary healthcare centers, health camps, and by community health workers, ensuring accessibility at the grassroots level. - Expert-Validated Innovation: Solutions co-designed and validated by clinicians and researchers at national institutes to ensure clinical relevance and accuracy. - Trusted and Responsible AI: Emphasis on privacy, safety, and fairness embedded in the design and deployment of AI tools. - Open and Scalable Solutions: Interoperable and standards-compliant tools built to scale across diverse healthcare settings. Primary Value and User Solutions: TANUH addresses critical challenges in India's healthcare system, including late disease detection, limited access to specialists, and care inequalities. By creating AI systems that operate effectively at the last mile, TANUH empowers frontline health workers and integrates human workflows into AI models, ensuring safe and effective care delivery. This approach aims to strengthen universal healthcare delivery, reduce disparities, and provide equitable, accessible, and high-quality care for all populations.