School of Medicine
Showing 11-20 of 51 Results
Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science
Current Research and Scholarly Interests Research Interests:
Assistant Professor of Pediatrics (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly Interests Malaria is a parasitic disease transmitted by mosquitos that is a leading cause of childhood mortality globally. Public health efforts to control malaria have historically been hampered by the rapid development of drug resistance. The goal of our research is to understand the molecular determinants of critical host-pathogen interactions in malaria, with a focus on the erythrocyte host cell. Our long-term goal is to develop novel approaches to prevent or treat malaria and improve child health.
Peter R. Egbert, MD
Professor of Ophthalmology, Emeritus
Current Research and Scholarly Interests Ocular pathology of shaken baby syndrome
Associate Professor of Medicine (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly Interests My lab's goals are to better understand virus-host protein interactions, identify host partners conservatively required by multiple viruses, and develop broad-spectrum host-centered antiviral approaches with a high genetic barrier for resistance. We combine novel proteomic approaches, including microfluidics platforms, with molecular virology, biochemical, and genomic approaches to achieve these goals. We focus on viruses from the Flaviviridae family (hepatitis C and dengue), as well as HIV.
Associate Professor of Surgery (General Surgery) at the Palo Alto Veterans Administration Health Care Center
Current Research and Scholarly Interests Minimally Invasive Surgery
Ahmed Nagy El Kaffas
Bio We develop quantitative imaging methods to characterize the tumor microenvironment, and to subsequently relate these imaging parameters to biomarkers that can be used for cancer surveillance, diagnosis and treatment monitoring/characterization. The focus is on 1) developing new acquisition methods and protocols to enhance quantification, 2) designing new image processing algorithms, analysis parameters and statistical models to quantitatively characterize imaging data, and 3) using advanced AI methods to further refine quantification or classification. While our methods can be used for other imaging modalities, we primarily focus on Ultrasound imaging modes such as contrast, molecular, elastography and spectroscopic ultrasound. Disease focus include liver cancer and liver metastasis, liver fibrosis/cirrhosis, and tumor blood flow characterization.