Ai-Hsien Adams Li
MD | PhD | MPH — Cardiologist & Biomedical Researcher
MD | PhD | MPH — Cardiologist & Biomedical Researcher
I am a physician-scientist with over 30 years of clinical, research, and academic experience spanning cardiology, biomedical engineering, neuroradiology, and public health. My career has taken me across Taiwan, Canada, China, France, and the United States, allowing me to contribute to medical practice at both bedside and bench levels.
My interdisciplinary background — combining an MD from National Taiwan University, a PhD in Biomedical Engineering, and an MPH from Johns Hopkins Bloomberg School of Public Health — drives my passion for translating cutting-edge research into improved patient outcomes. I am particularly interested in applying deep learning and AI to cardiovascular and pulmonary disease diagnostics.
Health Management Center — leading preventive medicine, executive health screening, and chronic disease management programs.
Active clinical practice in interventional cardiology and general internal medicine.
Teaching and mentoring medical students and residents at one of Asia's leading medical institutions.
Bridging clinical medicine and information technology; contributing to health informatics curriculum.
My ongoing focus is on integrating artificial intelligence and deep learning with clinical cardiology and pulmonary medicine to improve early detection and treatment of cardiovascular and oncological diseases. I aim to continue translational research bridging computational methods and clinical practice, with particular emphasis on lung nodule growth prediction, federated learning for privacy-preserving medical AI, and cardiovascular intervention optimization.
I am actively exploring opportunities in international medical collaboration and academic medicine across Taiwan, Canada, and the Asia-Pacific region, with the goal of fostering cross-institutional research networks.
50+ total publications | 13 first / corresponding author | View full list on Google Scholar
Scientists discovered that blocking the protein Ant2 forces T cells to rewire their energy metabolism — making them more powerful, resilient, and effective at identifying and destroying cancer cells. Published in Nature Communications. The breakthrough may lead to next-generation immunotherapy strategies.
Source: ScienceDaily / Nature Communications — April 14, 2026
Researchers developed the Connectome-seq technique using RNA "barcodes" to map synaptic connectivity among neurons at single-synapse resolution, published in Nature Methods. Opens new windows into brain circuit architecture and neurological disease.
Source: ScienceDaily / Nature Methods — April 7, 2026
Scientists at Cornell University showed that compound JQ1 completely halts sperm production in male mice and allows full fertility recovery afterward — without altering hormone levels. Published in PNAS. A major step toward the "holy grail" of male contraception.
Source: Cornell Chronicle / PNAS — April 7, 2026
Scripps Research developed a nanodisc-based platform that places viral membrane proteins into tiny lipid particles mimicking the virus surface. Revealed antibody recognition sites on HIV and Ebola invisible in isolation — accelerating vaccine design. Published in Nature Communications.
Source: ScienceDaily / Nature Communications — April 11, 2026
Scientists at the University of Geneva created the first gut bacteria catalogue at subspecies level. Combined with AI, the model predicts colorectal cancer from stool samples alone with 90% accuracy — close to colonoscopy's 94% but entirely non-invasive.
Source: ScienceDaily — April 9, 2026
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