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INSTRUCTOR Medicine, Nephrology
Biography
Dr. Lili Chan is an Instructor in the Department of Medicine, Division of Nephrology at the Icahn School of Medicine at Mount Sinai. She is board certified in Internal Medicine and Nephrology. After graduating from Rutgers University with a degree in Molecular Biology and Biochemistry she went on to complete her medical degree at Drexel University College of Medicine. Dr. Chan completed her internship and residency at Rutgers University Robert Wood Johnson Medical School and her fellowship at Icahn School of Medicine at Mount Sinai. Dr. Chan cares for patients with a variety of renal conditions ranging from acute kidney injury to end stage renal disease. In addition to patient care, she is an active member of the research community with a focus on examining and identifying methods to improve outcomes in patient requiring renal replacement therapy.
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Cardiovascular risk stratification using predicted coronary artery calcium score from a machine learning model using EHR data
Takkavatakarn, K., Oh, W., Anand Gownivaripally, P., Nadkarni, G. N. & Chan, L., May 2026, In: Heliyon. 12, 9, e44956.Research output: Contribution to journal › Article › peer-review
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Decoding Natural Language Processing and Large Language Models in Kidney Health
Yetman, H. E. & Chan, L., Jan 2026, In: Clinical Journal of the American Society of Nephrology. 21, 1, p. 183-185 3 p.Research output: Contribution to journal › Editorial
Open Access -
Health-Related Social Needs Are Associated with Lower Self-Reported Quality of Life in Patients on Hemodialysis
Yetman, H., Wen, H. H., Wang, L. C., Dong, Z., Tisdale, L., Foby, Y., Horowitz, C. R., Usvyat, L., Scherer, J., Thijssen, S., Kotanko, P., Coca, S., Nadkarni, G. & Chan, L., 5 Feb 2026, In: Clinical Journal of the American Society of Nephrology. Publish Ahead of Print, 10.2215/CJN.0000000946.Research output: Contribution to journal › Article › peer-review
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Keeping In-the-Loop: Supporting Clinical Reasoning Skills for Nephrology Learners in the Age of Artificial Intelligence
Boyle, S. M., Parsons, A. S., Sozio, S. M., Chan, L. & Warburton, K. M., 2026, In: Clinical Journal of the American Society of Nephrology.Research output: Contribution to journal › Article › peer-review
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Smart Learning: Artificial Intelligence in Kidney Disease Education
Rajagopal, M., Jayaraman, P. & Chan, L., 2026, (Accepted/In press) In: Clinical Journal of the American Society of Nephrology.Research output: Contribution to journal › Article › peer-review
Press/Media
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New Cardiovascular Diseases and Conditions Study Findings Recently Were Reported by Researchers at Icahn School of Medicine at Mount Sinai (Cardiovascular risk stratification using predicted coronary artery calcium score from a machine learning ...)
Oh, W., Nadkarni, G. & Chan, L.
3/06/26
1 item of Media coverage
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Hemodiafiltration and expanded hemodialysis transform US dialysis
24/02/26
1 item of Media coverage
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Recent Findings in COVID-19 Described by a Researcher from Icahn School of Medicine at Mount Sinai (Peripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV-2 Infection)
Beckmann, N., Vasquez Rios , G., Jayaraman, P., Liharska, L., Oh, W., Merad, M., Dellepiane, S., Kim-Schulze, S., Nadkarni, G., Suarez-Farinas, M., Rajagopal, M., Coca, S., Chan, L., Charney, A., Gnjatic, S., Sakhuja, A. & Thompson, R.
21/01/26
1 item of Media coverage
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