Projects per year
Personal profile
Headline
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.
Fingerprint
Dive into the research topics where Lili Chan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
-
Activation of STAT3 signaling pathway in the kidney of COVID-19 patients
Salem, F., Li, X. Z., Hindi, J., Casablanca, N. M., Zhong, F., El Jamal, S. M., Haroon Al Rasheed, M. R., Li, L., Lee, K., Chan, L. & He, J. C., Apr 2022, In: Journal of Nephrology. 35, 3, p. 735-743 9 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Artificial intelligence-enabled decision support in nephrology
Loftus, T. J., Shickel, B., Ozrazgat-Baslanti, T., Ren, Y., Glicksberg, B. S., Cao, J., Singh, K., Chan, L., Nadkarni, G. N. & Bihorac, A., Jul 2022, In: Nature Reviews Nephrology. 18, 7, p. 452-465 14 p.Research output: Contribution to journal › Review article › peer-review
5 Scopus citations -
Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis
Vaid, A., Jiang, J. J., Sawant, A., Singh, K., Kovatch, P., Charney, A. W., Charytan, D. M., Divers, J., Glicksberg, B. S., Chan, L. & Nadkarni, G. N., Jul 2022, In: Clinical Journal of the American Society of Nephrology. 17, 7, p. 1017-1025 9 p.Research output: Contribution to journal › Article › peer-review
-
Higher Symptom Frequency and Severity After the Long Interdialytic Interval in Patients on Maintenance Intermittent Hemodialysis
Chauhan, K., Wen, H. H., Gupta, N., Nadkarni, G., Coca, S. & Chan, L., Dec 2022, In: Kidney International Reports. 7, 12, p. 2630-2638 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Kidney Recovery and Death in Critically Ill Patients With COVID-19–Associated Acute Kidney Injury Treated With Dialysis: The STOP-COVID Cohort Study
STOP-COVID Investigators, Mar 2022, In: American Journal of Kidney Diseases. 79, 3, p. 404-416.e1Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations
Press / Media
-
Researchers from Icahn School of Medicine at Mount Sinai Describe Findings in Obesity, Fitness and Wellness (Natural Language Processing In Nephrology)
Lili Chan & Douglas Farrell
17/01/23
1 item of Media coverage
Press/Media
-
Machine Learning Model Predicts Treatment with Dialysis or Death for Hospitalized COVID-19 Patients
31/05/21
1 item of Media coverage
Press/Media
-
Machine-learning Helps Treat COVID-19 Patients With Acute Kidney Injury
29/05/21
1 item of Media coverage
Press/Media
-
Researchers create machine learning model to predict treatment with dialysis or death for hospitalized COVID-19 patients
28/05/21
2 items of Media coverage
Press/Media
-
Researchers Create Machine Learning Model to Predict Treatment with Dialysis or Death for Hospitalized COVID-19 Patients
28/05/21
1 item of Media coverage
Press/Media