School of Medicine
Showing 1-10 of 293 Results
-
Kimberly Allison
Professor of Pathology at the Stanford University Medical Center
Current Research and Scholarly Interests Dr. Allisons clinical expertise is in breast pathology. Her research interests include how standards should be applied to breast cancer diagnostics (such as HER2 testing), the utility of molecular panel-based testing in breast cancer, and identifying the most appropriate management of specific pathologic diagnoses. She is also the author of Red Sunshine, a memoir about her personal experience with breast cancer, a topic which she speaks about to both patient and health care audiences.
-
Jennifer Andrews, MD, MSc
Clinical Associate Professor, Pathology
Current Research and Scholarly Interests My research interests include: education of clinical residents and fellows regarding safe and effective transfusion practices, iron overload from red blood cell transfusions in pediatric hematology/oncology patients and leveraging technology to improve clinical practice around blood transfusion.
-
Euan A. Ashley
Professor of Medicine (Cardiovascular) and, by courtesy, of Pathology at the Stanford University Medical Center
Current Research and Scholarly Interests The Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve diagnosis of genetic disease and to personalize the practice of medicine. We also use network approaches to characterize biology. The wet bench is where we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality of our favorite targets.
-
Susan Atwater
Clinical Associate Professor, Pathology
Current Research and Scholarly Interests I am interested in optimizing the process of diagnosing leukemias, lymphomas and other hematolymphoid neoplasms, particularly by the use of diagnostic flow cytometry. One goal is to develop flow data analysis processes that function as interactive tools, allowing pathologists to query rich diagnostic data sets in real time.