معرفی
Nandini Nair is a Professor in the Department of Medicine specializing in advanced cardiac therapies and transplant medicine. Her research integrates database analytics and artificial intelligence to address critical challenges in heart failure management and transplantation outcomes.
Her primary research interests include:
- Heart Failure pathophysiology and treatment
- Cardiac transplantation and immunosuppression
- Left Ventricular Assist Device (LVAD) outcomes
- AI-driven risk prediction modeling
- Cardiac amyloidosis therapeutics
- Database analysis of transplant complications
Analysis of her 2024-2025 publications reveals a strong trend toward artificial intelligence applications in predicting mechanical circulatory support risks and transplant complications, alongside comparative studies of mental health outcomes in VAD versus transplant patients. Her work consistently employs large-scale database analysis (notably TriNetX) to develop risk prediction models while maintaining clinical focus on evolving treatment paradigms for cardiogenic shock and amyloidosis.
Nair has produced 76 research outputs over her career, with accelerated productivity since 2021 (11 publications in 2021, 8 in 2022, 8 in 2023, 9 in 2024, and 3 in 2025). Her collaborative network includes frequent co-authors Du D., Mahesh B., and Grzyb C., focusing on translational applications of predictive analytics in cardiac care. Her research directly contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) through innovations in cardiac disease management.
