Research output per year
Research output per year
Personal profile
Headline
PROFESSOR | Medicine, Data Driven & Digital Medicine
PROFESSOR | Medicine, Nephrology
Fingerprint
Dive into the research topics where Girish Nadkarni is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease
Eoli, A., Ibing, S., Schurmann, C., Nadkarni, G. N., Heyne, H. O. & Böttinger, E., Dec 2024, In: Scientific Reports. 14, 1, 9642.Research output: Contribution to journal › Article › peer-review
Open Access -
A foundation model for clinician-centered drug repurposing
Huang, K., Chandak, P., Wang, Q., Havaldar, S., Vaid, A., Leskovec, J., Nadkarni, G. N., Glicksberg, B. S., Gehlenborg, N. & Zitnik, M., 2024, (Accepted/In press) In: Nature Medicine.Research output: Contribution to journal › Article › peer-review
Open Access -
A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels
Trans-Omics for Precision Medicine (TOPMed) program & The INVENT Consortium, 2 May 2024, In: Blood. 143, 18, p. 1845-1855 11 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression
Oikonomou, E. K., Holste, G., Yuan, N., Coppi, A., McNamara, R. L., Haynes, N. A., Vora, A. N., Velazquez, E. J., Li, F., Menon, V., Kapadia, S. R., Gill, T. M., Nadkarni, G. N., Krumholz, H. M., Wang, Z., Ouyang, D. & Khera, R., 12 Jun 2024, In: JAMA Cardiology. 9, 6, p. 534-544 11 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19
Oh, W., Jayaraman, P., Tandon, P., Chaddha, U. S., Kovatch, P., Charney, A. W., Glicksberg, B. S. & Nadkarni, G. N., Feb 2024, In: Artificial Intelligence in Medicine. 148, 102750.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Press/Media
-
Surfacing Insights Into Left and Right Ventricular Dysfunction Through Deep Learning
1/10/24
1 item of Media coverage
Press/Media
-
Reports Summarize Liver Fibrosis Findings from Icahn School of Medicine at Mount Sinai (Comparison of Blood-based Liver Fibrosis Scores In the Mount Sinai Health System, Masld Registry, and Nhanes 2017-2020 Study)
Nadkarni, G., Rocheleau, G., Do, R. & Bansal, M.
25/09/24
1 item of Media coverage
Press/Media
-
Study Results from Icahn School of Medicine at Mount Sinai Provide New Insights into Intracranial Hypertension (Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension)
Jayaraman, P., Nadkarni, G., Kovatch, P., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
24/09/24
1 item of Media coverage
Press/Media
-
Deep learning tool could improve brain pressure monitoring
12/09/24
1 item of Media coverage
Press/Media
-
AI-driven tool could improve brain pressure monitoring in intensive care patients
6/09/24
1 item of Media coverage
Press/Media