School of Medicine
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Manisha Desai (She/Her/Hers)
Professor (Research) of Medicine (Biomedical Informatics), of Biomedical Data Science and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly Interests Dr. Desai is the Director of the Quantitative Sciences Unit. She is interested in the application of biostatistical methods to all areas of medicine including oncology, nephrology, and endocrinology. She works on methods for the analysis of epidemiologic studies, clinical trials, and studies with missing observations.
Clinical Associate Professor, Medicine - Biomedical Informatics Research
Current Research and Scholarly Interests Method development and insightful informatics based on my training as a physician, biochemist and computer scientist: Methods for representing, capturing and integrating emerging or expert biomedical knowledge to improve computational predictions of biological and clinical relevance. Methods for evaluating predictions based on machine learning. Interventional and causal predictions. Informatics research on problems in oncology, radiology and allergy/immunology.
Clinical Assistant Professor, Medicine - Biomedical Informatics Research
Bio I am a faculty member in Biomedical Informatics Research at Stanford and board-certified internal medicine and clinical informatics. I split my time between clinical practice, hospital medical informatics and applications of artificial intelligence in healthcare. I work with the Clinical Excellence Research Center ? a research group dedicated to reducing the cost of high-quality care ? directing the Partnership in AI collaboration with the Stanford Artificial Intelligence Lab. Recognizing that the complexity of medicine has grown beyond the abilities of even the most expert clinician, we focus applications of computer vision to address some of the greatest challenges in healthcare: perfecting intended care for frail patients in settings ranging from the intensive care unit to the home. I have published work in the New England Journal of Medicine, Health Affairs, Annals of Internal Medicine, and the Journal of the American Medical Informatics Association. My interests include a design-based approach to understand how technology has impacted the work of clinicians and implications for new care models, workflow, and technology integration.