Stanford University
Showing 681-690 of 2,402 Results
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Amit Gohil
Clinical Associate Professor (Affiliated), Medicine - Med/Pulmonary, Allergy & Critical Care Medicine
Staff, Medicine - Med/Pulmonary, Allergy & Critical Care MedicineBioMy main practice is at County Hospital of Santa Clara, where my time is split between Pulmonary Clinic, Pulmonary Physiology Lab and Medical Intensive Care.
Other Clinical Interests include neurocritical care, Mab therapy for asthma,. and management of toxin induced pulmonary hypertension
My research interests are moving into the use of Data Science to answer clinical questions. I am currently in the process of becoming familiar with R as a coding language to examine large clinical data sets and hope to move into machine learning algorithms to improve the pulmonary health of our county population. -
David Edward Goldenberg
Clinical Assistant Professor, Medicine - Gastroenterology & Hepatology
BioDr Goldenberg completed training at UCLA, Geisel School of Medicine at Dartmouth, Tufts Medical Center, and Cedars Sinai Medical Center. In addition to a gastroenterology fellowship, he graduated with a Masters in Healthcare Delivery Science at Cedars Sinai Medical Center. He has a passion for medical education and enjoys teaching medical students, residents, and fellows as a Clinician Educator. His research focuses on Healthcare Delivery with an emphasis on maximizing value-based healthcare and medical innovation. He has an additional interest in translational research with multiple publications and patent applications for medical devices. He has unique clinical expertise in fecal microbiota transplantation.
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Zinaida Good, Ph.D.
Assistant Professor of Medicine (Immunology and Rheumatology)
Current Research and Scholarly InterestsOur laboratory integrates cutting-edge synthetic biology, immunology, and machine learning to engineer T cell therapies for cancer and autoimmune diseases. We have 3 research areas:
- Analysis of clinical single-cell and spatial transcriptomics datasets from T cell therapy trials to identify mechanisms of resistance
- Building AI systems to generate T cell designs predicted to improve patient outcomes
- Genetic screens of novel T cell designs in models that mimic key mechanisms of resistance
