Manu Kumar Shetty
Also known as: Manu Kumar
Maulana Azad Medical College, BioXcel Corp, Vardhman Mahavir Medical College and Safdarjung Hospital, RGUHS
About
Doctor, educator, and AI researcher working at the intersection of healthcare and technology. Experienced in clinical medicine, medical education, and AI-driven healthcare innovation. Developed projects including Agentic AI for drug target docking, computer-assisted learning software, AI-based ECG analysis, and animation-driven MBBS teaching content.
Built expertise in AI/ML from the ground up from Python to deep learning and interpretable AI with research collaborations including IIIT Delhi and publications in reputed journals. Passionate about building practical AI solutions that advance digital healthcare and medical education.
Employment
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Maulana Azad Medical College Professor2018 - Present
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BioXcel Corp2016 - 2018
Education
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Vardhman Mahavir Medical College and Safdarjung Hospital MD2010 - 2013
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RGUHS MBBS
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- Behavioral Adverse Effects During Initial Six Weeks of Levetiracetam Therapy in Children with Epilepsy: A Prospective Cohort Study Save
- Understanding 30-Day Mortality After First STEMI Through DAGs: Unravelling Epidemiological Cause-Effect Links Save
- Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients Save
- Leveraging Explainable AQ1 AI for Drug Efficacy and Mortality Analysis: Insights from an Observational Dataset Save
- CardioRiskNet: Attention-based CVAE-enabled GCN for Risk Prediction in STEMI Save
- Artificial intelligence and healthcare Save
- Risk Stratification of COVID-19 Patients based on Proposed Simple Clinical Parameters Score: A Retrospective Observational Study Save
- Will AI be able to tackle healthcare challenges effectively? Save
- Heart rate variability as a marker of cardiovascular dysautonomia in post-COVID-19 syndrome using artificial intelligence Save
- Explainable AI decision model for ECG data of cardiac disorders Save