School of Medicine
Showing 11-20 of 376 Results
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Nicolas Altemose
Assistant Professor of Genetics
Current Research and Scholarly InterestsThe Altemose Lab develops new experimental and analytical tools to study how chromatin proteins organize and regulate complex regions of the human genome.
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Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for Human-Centered AI and Professor, by courtesy, of Computer Science
Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
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Euan A. Ashley
Roger and Joelle Burnell Professor of Genomics and Precision Health, Arthur L. Bloomfield Professor of Medicine and Professor of Genetics, of Biomedical Data Science and, by courtesy, of Pathology
Current Research and Scholarly InterestsThe Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve the diagnosis of genetic disease and to personalize the practice of medicine. At the wet bench, we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality in biological pathways and find targets for therapeutic development.
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Laura Attardi
Catharine and Howard Avery Professor of the School of Medicine and Professor of Genetics
Current Research and Scholarly InterestsOur research is aimed at defining the pathways of p53-mediated apoptosis and tumor suppression, using a combination of biochemical, cell biological, and mouse genetic approaches. Our strategy is to start by generating hypotheses about p53 mechanisms of action using primary mouse embryo fibroblasts (MEFs), and then to test them using gene targeting technology in the mouse.
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Mohan Babu Budikote Venkatappa
Basic Life Research Scientist, Genetics
Current Research and Scholarly InterestsLongitudinal host-microbial omics profiling and wearables-based monitoring to understand Autism Spectrum Disorder (ASD), its heterogeneity, and predictors of the diverse symptoms that ASD individuals experience.
