Research output per year
Research output per year
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Dive into the research topics where The Charles Bronfman Institute for Personalized Medicine is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Judy Cho
- Artificial Intelligence and Human Health
- Cancer Prevention & Control
- Friedman Brain Institute
- Genetics and Genomic Sciences
- Graduate School of Biomedical Sciences
- Icahn Genomics Institute
- Icahn School of Medicine at Mount Sinai
- Marc and Jennifer Lipschultz Precision Immunology Institute
- Medicine
- Medicine - Gastroenterology
- The Charles Bronfman Institute for Personalized Medicine
- The Tisch Cancer Institute
Person
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Girish Nadkarni
- Institute for Health Equity Research
- Artificial Intelligence and Human Health
- 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 Clinical Intelligence Institute
- Nephrology T32
- The Charles Bronfman Institute for Personalized Medicine
Person
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Guo-Cheng Yuan
- Institute for Regenerative Medicine
- Cancer Immunology
- The Tisch Cancer Institute
- Graduate School of Biomedical Sciences
- Black Family Stem Cell Institute
- Genetics and Genomic Sciences
- Icahn Genomics Institute
- Icahn School of Medicine at Mount Sinai
- Marc and Jennifer Lipschultz Precision Immunology Institute
- The Charles Bronfman Institute for Personalized Medicine
Person
Research output
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A foundational vision transformer improves diagnostic performance for electrocardiograms
Vaid, A., Jiang, J., Sawant, A., Lerakis, S., Argulian, E., Ahuja, Y., Lampert, J., Charney, A., Greenspan, H., Narula, J., Glicksberg, B. & Nadkarni, G. N., Dec 2023, In: npj Digital Medicine. 6, 1, 108.Research output: Contribution to journal › Article › peer-review
Open Access -
A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort
Hirten, R. P., Suprun, M., Danieletto, M., Keefer, L., Charney, D., Nadkarni, G. N., Suarez-Farinas, M. & Fayad, Z. A., 1 Jul 2023, In: JAMIA Open. 6, 2, ooad029.Research output: Contribution to journal › Article › peer-review
Open Access -
A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Forrest, I. S., Petrazzini, B. O., Duffy, Á., Park, J. K., O’Neal, A. J., Jordan, D. M., Rocheleau, G., Nadkarni, G. N., Cho, J. H., Blazer, A. D. & Do, R., Dec 2023, In: Nature Communications. 14, 1, 2385.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Application of Natural Language Processing in Nephrology Research
Farrell, D. & Chan, L., Jun 2023, In: Clinical Journal of the American Society of Nephrology. 18, 6, p. 806-808 3 p.Research output: Contribution to journal › Comment/debate
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A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine
Jayaraman, P., Crouse, A., Nadkarni, G. & Might, M., 1 Apr 2023, In: Kidney360. 4, 4, p. E544-E554Research output: Contribution to journal › Review article › peer-review
Open Access1 Scopus citations -
Author Correction: Clonal haematopoiesis and risk of chronic liver disease (Nature, (2023), 616, 7958, (747-754), 10.1038/s41586-023-05857-4)
NHLBI TOPMed Hematology Working Group, 20 Jul 2023, In: Nature. 619, 7970, p. E47Research output: Contribution to journal › Comment/debate
Open Access -
Author Correction: The power of genetic diversity in genome-wide association studies of lipids (Nature, (2021), 600, 7890, (675-679), 10.1038/s41586-021-04064-3)
Global Lipids Genetics Consortium & VA Million Veteran Program, 2023, (Accepted/In press) In: Nature.Research output: Contribution to journal › Comment/debate
Open Access1 Scopus citations -
Autosomal Dominant STAT6 Gain of Function Causes Severe Atopy Associated with Lymphoma
NIHR BioResource-Rare Diseases Consortium, 2023, (Accepted/In press) In: Journal of Clinical Immunology.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Cannabis Use and CKD: Epidemiological Associations and Mendelian Randomization
Dellepiane, S., Paranjpe, I., Rajagopal, M., Kamat, S., O'Hagan, R., Gulamali, F., Rein, J. L., Charney, A. W., Do, R., Coca, S., Glicksberg, B. S. & Nadkarni, G. N., Feb 2023, In: Kidney Medicine. 5, 2, 100582.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Causal effect of adiposity on the risk of 19 gastrointestinal diseases: a Mendelian randomization study
Kim, M. S., Song, M., Kim, S., Kim, B., Kang, W., Kim, J. Y., Myung, W., Lee, I., Do, R., Khera, A. V. & Won, H. H., May 2023, In: Obesity. 31, 5, p. 1436-1444 9 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Clinical Trial Design for Triglyceride-Rich Lipoprotein-Lowering Therapies: JACC Focus Seminar 3/3
Malick, W. A., Waksman, O., Do, R., Koenig, W., Pradhan, A. D., Stroes, E. S. G. & Rosenson, R. S., 25 Apr 2023, In: Journal of the American College of Cardiology. 81, 16, p. 1646-1658 13 p.Research output: Contribution to journal › Review article › peer-review
2 Scopus citations -
Clonal haematopoiesis and risk of chronic liver disease
NHLBI TOPMed Hematology Working Group, 27 Apr 2023, In: Nature. 616, 7958, p. 747-754 8 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations
Press/Media
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Findings from Mount Sinai Hospital Update Understanding of Atrial Fibrillation (Interatrial Block Association With Adverse Cardiovascular Outcomes In Patients Without a History of Atrial Fibrillation)
David Power, Girish Nadkarni, Vivek Y. Reddy, Valentin Fuster, Daniel Musikantow, Jacob Koruth,, William Whang, Mohit Turagam & Jonathan Halperin
6/11/23
1 item of Media coverage
Press/Media
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Monthly: Heart Test Laboratories (HSCS: 24.92c) plummets 42%, trailing 93% of stocks
1/11/23
1 item of Media coverage
Press/Media
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Studies from Icahn School of Medicine at Mount Sinai Describe New Findings in Disease Progression (Derivation and Independent Validation of Kidneyintelx.dkd: a Prognostic Test for the Assessment of Diabetic Kidney Disease Progression)
Girish Nadkarni, Michael Donovan, Barbara Murphy & Steven Coca
19/10/23
1 item of Media coverage
Press/Media
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The Unintended Pitfalls of Machine Learning Models in Healthcare
16/10/23
1 item of Media coverage
Press/Media
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Predicting risks for the most serious patients with AI: even predictive models can make mistakes
14/10/23 → 15/10/23
3 items of Media coverage
Press/Media
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Mount Sinai Hospital: What Is the Impact of Predictive AI in the Health Care Setting?
Pushkala Jayaraman, Edgar Argulian, Girish Nadkarni, Mayte Suarez-Farinas, Matthew Levin, Patricia Kovatch, Benjamin Glicksberg, Alexander Charney, Jagat Narula, Zahi Fayad & Stamatios Lerakis
11/10/23
1 item of Media coverage
Press/Media
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Researchers use new Deep Learning approach to enable analysis of ECGs as language
10/10/23
1 item of Media coverage
Press/Media
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AI predictive models shown to be unreliable over time in clinical settings
9/10/23
1 item of Media coverage
Press/Media
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History of parental infertility associated with small increased risk for birth defects among children conceived through fertility treatment
9/10/23
1 item of Media coverage
Press/Media
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What Is the Impact of Predictive AI in the Health Care Setting? Findings underscore the need to track individuals affected by machine learning predictions.
Pushkala Jayaraman, Edgar Argulian, Girish Nadkarni, Mayte Suarez-Farinas, Matthew Levin, Patricia Kovatch, Benjamin Glicksberg, Alexander Charney, Jagat Narula, Zahi Fayad & Stamatios Lerakis
9/10/23
22 items of Media coverage
Press/Media
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Impact of Predictive AI on Healthcare Explored
Pushkala Jayaraman, Edgar Argulian, Girish Nadkarni, Mayte Suarez-Farinas, Matthew Levin, Patricia Kovatch, Benjamin Glicksberg, Alexander Charney, Jagat Narula, Zahi Fayad & Stamatios Lerakis
9/10/23
1 item of Media coverage
Press/Media