School of Medicine
Showing 341-360 of 395 Results
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Nicholas M.G. Friedman
MD Student with Scholarly Concentration in Health Services & Policy Research / Quality Improvement, expected graduation Spring 2024
BioNick Friedman is an MD Candidate at the Stanford University School of Medicine. His administrative leadership roles and research focus on innovation in emergency medicine, with emphasis on prehospital emergency care and addiction medicine. Nick was selected for the Stanford Healthcare Leadership and Administration Fellowship in the Department of Emergency Medicine and he is currently the Director of Quality Improvement for the Addiction Treatment Services Innovation Hub at the Palo Alto Veterans Affairs Medical Center. He served as Editor-in-Chief of The Journal of Collegiate Emergency Medical Services, and his research and writing have been published in The American Journal of Emergency Medicine, Prehospital Emergency Care, Prehospital and Disaster Medicine, and others.
Additionally, Nick maintains a special interest in philosophy and ethics. He taught philosophy and ethics of science at the high school level and he is the Founding President of the Stanford Philosophy of Medicine Society.
Nick is proud to serve as a soldier in the Army National Guard and remains committed to prehospital emergency care as an Emergency Medical Technician. -
Jason Fries
Research Engineer, Med/BMIR
Current Role at StanfordI'm currently working as a staff research scientist in the Shah Lab and research scientist at Snorkel AI. My interests fall in the intersection of computer science and medical informatics. My research interests include:
• Machine learning with limited labeled data, e.g., weak supervision, self-supervision, and few-shot learning.
• Multimodal learning, e.g., combining text, imaging, video and electronic health record data for improving clinical outcome prediction
• Human-in-the-loop machine learning systems.
• Knowledge graphs and their use in improving representation learning -
Richard Frock
Assistant Professor of Radiation Oncology (Radiation and Cancer Biology)
Current Research and Scholarly InterestsWe are a functional genomics laboratory interested in elucidating mechanisms of DNA repair pathway choice and genome instability. We employ a powerful discovery platform, High-Throughput Genome-wide Translocation Sequencing (HTGTS), which maps DNA junctions at single nucleotide resolution. Our expertise overlaps many different fields including: genome editing, ionizing radiation and cancer therapeutics, V(D)J and IgH class switch recombination, and meiosis.
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Victor Froelicher, MD
Professor of Medicine (Cardiovascular) at the Veterans Affairs Palo Alto Health Care System, Emeritus
Current Research and Scholarly InterestsScreening of athletes for sudden cardiac death, Computerized ECG and clinical data management; exercise Physiology including expired gas analysis; the effect of chronic and acute exercise on the heart; digital recording of biological signals; diagnostic use of exercise testing; development of Expert Medical System software and educational tools.
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Judith Frydman
Donald Kennedy Chair in the School of Humanities and Sciences and Professor of Genetics
Current Research and Scholarly InterestsThe long term goal of our research is to understand how proteins fold in living cells. My lab uses a multidisciplinary approach to address fundamental questions about molecular chaperones, protein folding and degradation. In addition to basic mechanistic principles, we aim to define how impairment of cellular folding and quality control are linked to disease, including cancer and neurodegenerative diseases and examine whether reengineering chaperone networks can provide therapeutic strategies.
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Adam Frymoyer
Clinical Professor, Pediatrics - Neonatal and Developmental Medicine
Clinical Associate Professor, PediatricsCurrent Research and Scholarly InterestsMy research interests focus on understanding the clinical pharmacokinetics (PK) and pharmacodynamics (PD) of medicines used in complex pediatric populations. This includes identifying sources of variation in drug response through the application of population PK-PD modeling and simulation approaches. The goal is to ultimately apply this quantitative understanding to guide therapeutic decision-making in infants and children.
