Research interests
Advanced training in artificial intelligence[9]
Baljash S. Cheema is an Assistant Professor of Medicine (Cardiology) at Northwestern University Feinberg School of Medicine and an Advanced Heart Failure and Transplant Cardiologist. His clinical expertise includes hypertrophic cardiomyopathy, advanced heart failure, mechanical circulatory support, and heart transplantation. He trained at Northwestern, earning an MD in 2015 and completing Internal Medicine residency in 2018, chief residency in 2019, cardiology fellowship and an advanced Artificial Intelligence in Cardiovascular Disease fellowship in 2022, followed by Advanced Heart Failure and Transplant Cardiology fellowship in 2023. He also holds MS degrees from Northwestern’s Graduate School and McCormick School of Engineering. His work applies AI to clinical care, healthcare operations, cardiology practice, and emerging-technology implementation. He is Medical Director of the Human Longevity Clinic and Director of Artificial Intelligence for Graduate Medical Education at McGaw Medical Center.
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Training includes Advanced Heart Failure and Transplant Cardiology fellowship at Northwestern University, McGaw Medical Center, Advanced fellowship in Artificial Intelligence in Cardiovascular Disease at Northwestern University Feinberg School of Medicine, Cardiology fellowship at Northwestern University, McGaw Medical Center, and MS from Northwestern University McCormick School of Engineering, plus 8 more records.
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Advanced training in artificial intelligence[9]
Application of AI across clinical care and healthcare operations[9]
Focus on biological aging, healthspan, cardiovascular risk prevention, and clinical application of emerging biomarkers, diagnostics, and technologies[9]
Interest in translating emerging technologies into clinical practice, integrating them into clinical workflows, and studying physician adoption and health-system implementation[9]
Research work on cardiology practice patterns, referral pathways, physician decision-making, and real-world adoption of cardiovascular drugs, diagnostics, devices, and emerging technologies[9]
The institute report states that Dr. Cheema was concentrating on applying machine learning to the Human Longevity Lab's multidimensional dataset, with the goal of creating a distinctly Northwestern AI-based tool for measuring biological age in humans.[11]