Agrawal Anurag

I am a physician-scientist engaged in experimental and computational studies to develop systematic multi-scale understanding necessary to formulate effective preventive or curative strategies at individual and societal levels. My broad areas of work are a) Understanding the pathobiological genesis of lung diseases and developing better predictive strategies through high-dimensional -omic digital data, b) Using information and communication technologies, with large scale medical digital data collection, towards extended public health informatics. I see these as a continuum of digital medicine from cells to societies and am a passionate advocate of smart deployment of emerging technologies for affordable high-quality wellness care. Towards this goal, I am involved in the leadership and development of a national bioscience mission for human health, focusing on generating diverse health data in digital formats towards precision-health, as well as more focused national AI-Health programs for better leveraging limited healthcare resources through automation of tasks and high quality decision-support. I am also the co-chair of the forthcoming Lancet and Financial Times Global Commission, Governing health futures 2030: growing up in a digital world, with a mandate to explore the convergence of digital health, AI and other frontier technologies towards universal health coverage; with a special focus on improving the health of children and young people. I have been active in molecular and digital tracking of the COVID-19 pandemic and am a member of the pandemic preparedness subgroup of the Global Partnership for Artificial Intelligence.

1. Genomic Surveillance of SARS-CoV-2 in India. Interested in immune response and immunopathology of SARS-CoV-2 for its functional role in disease severity and clinical outcome.

3. Airway inflammation, lung function and lung disease.

4. Correlating basic research in human disease and public health, through large clinical data.

5. Metabolic dysfunction and cellular stress response pathways that link obesity, asthma and diabetes.

6. Use of information technology and big data analytics for effective application of community health efforts and development of pattern-based diagnostics

7. Creating overall health infrastructure in such resource limited settings, and supporting public health research, especially via digital health and digital transformation