Stanford University
Showing 61-70 of 406 Results
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Sergios Gatidis
Associate Professor of Radiology (Pediatric Radiology)
BioDr. Gatidis completed his medical training at the University of Tuebingen / Germany and received his Diploma in Mathematics from from the Universities of Tuebingen and Hagen / Germany. His research is focused on on methods and applications of machine learning for medical data analysis and translation of AI into clinical practice.
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Brice Gaudilliere
Professor of Anesthesiology, Perioperative and Pain Medicine (MSD) and, by courtesy, of Pediatrics (Neonatology)
Current Research and Scholarly InterestsThe advent of high dimensional flow cytometry has revolutionized our ability to study and visualize the human immune system. Our group combines high parameter mass cytometry (a.k.a Cytometry by Time of Flight Mass Spectrometry, CyTOF), with advanced bio-computational methods to study how the human immune system responds and adapts to acute physiological perturbations. The laboratory currently focuses on two clinical scenarios: surgical trauma and pregnancy.
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Dyani Gaudilliere
Clinical Associate Professor, Surgery - Plastic & Reconstructive Surgery
BioDr. Dyani Gaudilliere specializes in Dental Surgery and Oral Oncology in a hospital setting. As a hospital dentist she performs surgical treatment of infection and trauma to the teeth and supporting alveolar bone. She also performs medically necessary dental clearance and extractions in the context of larger medical conditions, such as cardiac disease, joint replacement, or organ transplantation. As an oral oncologist, she specializes in surgical dental treatment prior to, during, and following radiation therapy and chemotherapy.
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Benny Gavi, MD, MTS
Clinical Assistant Professor, Medicine
Current Research and Scholarly InterestsHospitalist Medicine
Medicine Consultation
Quality Improvement
Medical Ethics
Organizational Ethics
Medical Humanities -
Charles Gawad
Associate Professor of Pediatrics (Hematology/Oncology)
BioOur lab works at the interface of biotechnology, computational biology, cellular biology, and clinical medicine to develop and apply new tools for characterizing genetic variation across single cells within a tissue with unparalleled sensitivity and accuracy. We are focused on applying these technologies to study cancer clonal evolution while patients are undergoing treatment with the aim of identifying cancer clonotypes that are associated with resistance to specific drugs so as to better understand and predict treatment response. We are also applying these methods to understand how more virulent pathogens emerge from a population of bacteria or viruses with an emphasis on developing a deeper understanding of how antibiotic resistance develops.
