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Collaborations and top research areas from the last five years
Profiles
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Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine
- Center for Artificial Intelligence in Children’s Health
- Institute for Health Equity Research
- Artificial Intelligence and Human Health
- Data-Driven and Digital Medicine
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn School of Medicine at Mount Sinai
- Medicine
- Medicine - Nephrology
- Mount Sinai Academy of Physician-Scientists
- Mount Sinai Clinical Intelligence Institute
- Nephrology T32
Person
Research output
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Association of Vaccination With COVID Outcomes in Pregnant People With Autoimmune Diseases: A Retrospective National Cohort Analysis
the National Clinical Cohort Collaborative (N3C), 2026, (Accepted/In press) In: Arthritis Care and Research.Research output: Contribution to journal › Article › peer-review
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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
Open Access -
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 -
Exosome-primed T cell immunity is facilitated by complement activation
Alibrandi, S., Clemens, A., Li, Y., Shufesky, W. J., Vo, A., Ammerman, N., Huang, E., Watkins, S. C., Heeger, P., Jordan, S., Morelli, A. E. & Chun, N., Jan 2026, In: American Journal of Transplantation. 26, 1, p. 52-64 13 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
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
Open Access -
Immune Priming and the Risk of COVID-19, Influenza, and Other Acute Respiratory Infections: Insights From an N3C Cohort
National Clinical Cohort Collaborative (N3C) COVID-19 Consortium, Mar 2026, In: Influenza and other Respiratory Viruses. 20, 3, e70253.Research output: Contribution to journal › Article › peer-review
Open Access -
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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Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study
Liu, M. M., Bane, O., Mu, X., Al-Mubarak, H., Reddy, A. M., Bolger, I., Abboud, G., Kennedy, P., Robson, P., Meilika, K., Horowitz, A., Kuhn, B., Farouk, S., Badani, K., Taouli, B. & Lewis, S., Apr 2026, In: Journal of Magnetic Resonance Imaging. 63, 4, p. 1025-1039 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Post-nephrectomy outcomes in COVID-19 and non-COVID-19 Patients using ACEi, ARB and SGLT2i: a N3C database study
the N3C consortium, 2026, (Accepted/In press) In: International Urology and Nephrology.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
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
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Using artificial intelligence to uncover keywords associated with resident EPA entrustability
Agathis, A. Z., Yang, J., Lazar, D. J., Chan, L., Fefferman, A. M., Wu, J. Z. & Divino, C. M., 2026, (Accepted/In press) In: American Journal of Surgery. 116980.Research output: Contribution to journal › Article › peer-review
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Using Predictive Models and AI for AKI Research
Rajagopal, M., Chan, L. & Nadkarni, G. N., Jan 2026, In: Seminars in Nephrology. 46, 1, 151673.Research output: Contribution to journal › Review article › peer-review
1 Scopus citations
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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New Urology Data Have Been Reported by Researchers at Icahn School of Medicine at Mount Sinai (Three People With Recurrent Nephrolithiasis and Heterozygous ABCC6 Mutations)
Rein, J., Rein, J., Uribarri, J., Lebwohl, M. & Farrell, D.
14/04/26
1 item of Media coverage
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Hemodiafiltration and expanded hemodialysis transform US dialysis
24/02/26
1 item of Media coverage
Press/Media
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13 Best Electrolyte Powders for Hydration in 2026, According to Experts
Mallipattu, S.
22/02/26
1 item of Media coverage
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Studies from Icahn School of Medicine at Mount Sinai Provide New Data on Chronic Kidney Disease (Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal ...)
Badani, K., Lewis, S., Taouli, B., Kennedy, P., Bane, O., Robson, P., Horowitz, A. & Farouk, S.
26/01/26
1 item of Media coverage
Press/Media
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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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Researchers from Icahn School of Medicine at Mount Sinai Detail Findings in Sepsis (Personalized Fluid Management in Patients With Sepsis and Acute Kidney Injury: A Causal Machine Learning Approach)
Oh, W., Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Kovatch, P., Chan, L., Charney, A., Oropello, J., Hofer, I., Sakhuja, A., Tandon, P., Al-Taie, Z. & Kraft, M.
9/01/26
1 item of Media coverage
Press/Media
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HMN 2026: How AI could help predict nutrition risks in ICU patients
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A. & Klang, E.
3/01/26 → 5/01/26
2 items of Media coverage
Press/Media
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Early identification of nutrition risk in ICU patients using artificial intelligence
Kohli-Seth, R., Nadkarni, G., Suarez-Farinas, M., Manasia, A., Chan, L., Charney, A., Oropello, J., Gupta, R., Sakhuja, A., Klang, E. & Patel, M.
22/12/25 → 24/12/25
5 items of Media coverage
Press/Media