Machine Learning of the Cardiac Phenome and Skin Transcriptome to Categorize Heart Disease in Systemic Sclerosis.

Machine Learning of the Cardiac Phenome and Skin Transcriptome to Categorize Heart Disease in Systemic Sclerosis. . 2017 Nov 3; 213678.

2017

https://researcherprofiles.org/profile/79292916

Important Dates

SECOND CYCLE NOW CLOSED

CHIC-CFAR Symposium: Wednesday, Sept 25, 2019

Laurence Huang, MD

Clinical Professor

Medicine

I am a pulmonary and critical care medicine specialist with a research focus on pulmonary diseases affecting persons with HIV with a global perspective. I am a clinical-translational researcher with clinical cohorts in San Francisco, CA and in Kampala, Uganda.

Priscilla Hsue, MD

Professor and Chief

Medicine

Professional Experience: Dr. Hsue trained in Internal Medicine in the Molecular Medicine Training Program at UC San Francisco and in Cardiovascular Medicine at UC San Francisco. She served as Chief Cardiology Fellow during this time. She has been on the faculty in the Department of Medicine at San Francisco General Hospital since 2002. She started the HIV Cardiology Clinic since March 2004 at the Positive Health Program at Ward 86, which is one of the first subspeciality clinics of its kind in the nation.

CHIC K12

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Machine Learning of the Cardiac Phenome and Skin Transcriptome to Categorize Heart Disease in Systemic Sclerosis.

Important Dates

Laurence Huang, MD

Priscilla Hsue, MD