School of Medicine
Showing 101-120 of 664 Results
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Lawrence Chu, MD, MS
Professor of Anesthesiology, Perioperative and Pain Medicine (MSD)
Current Research and Scholarly InterestsI have two lines of research, one involving educational informatics and use of technology in postgraduate medical education and another involving NIH-funded work in patient-oriented clinical research regarding opioid use and physiologic responses associated with acute and chronic exposure in humans.
For a full description of my educational informatics work, please see my website aim.stanford.edu.
My clinical research focuses on the study opiate-induced hyperalgesia in patients suffering from chronic pain.
I am currently conducting an NIH-funded five year double-blinded randomized controlled clinical study (NIGMS award 1K23GM071400-01) that prospectively examines the following hypotheses: 1) pain patients on chronic opioid therapy develop dose-dependent tolerance and/or hyperalgesia to these medications over time, 2) opiate-induced tolerance and hyperalgesia develop differently with respect to various types of pain, 3) opioid-induced hyperalgesia occurs independently of withdrawal phenomena, and 4) opiate-induced tolerance and hyperalgesia develop differently based on gender and/or ethnicity.
The study is the first quantitative and prospective examination of tolerance and hyperalgesia in pain patients and may have important implications for the rational use of opioids in the treatment of chronic pain. -
Philip Chung
Instructor, Anesthesiology, Perioperative and Pain Medicine
BioPhilip Chung is a physician-scientist, general anesthesiologist, and healthcare AI researcher at Stanford University School of Medicine. He develops and evaluates AI systems that leverage electronic health records to support perioperative decision-making and patient safety. His research interests include large language models, healthcare foundation models, clinical AI evaluation, perioperative outcomes research, and the safe translation of AI technologies into real-world clinical practice. His work has been published in leading journals including NEJM AI, JAMA Surgery, Nature Medicine, and The Lancet Digital Health. In addition to his clinical practice at Stanford Hospital, he is also a member of Nima Aghaeepour’s laboratory.
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David Clark
Professor of Anesthesiology, Perioperative and Pain Medicine (MSD)
BioMy career is dedicated to improving the safety, effectiveness and availability of pain relief. Both the needs and opportunities in these areas are limitless. I have had the good fortune of working as a clinician, teacher and scientist at Stanford University and the Palo Alto VA hospital for more than two decades.
Much of my time is spent on laboratory, translational and clinical research. In the laboratory, we are pursuing several projects related to the questions of why pain sometimes becomes chronic after injuries and why opioids lose their effectiveness over time. Alterations in endogenous pain control mechanisms and the involvement of the adaptive system of immunity are central to these investigations. We would like to find ways to maximize functional recovery after surgery and other forms of trauma while minimizing the risks of analgesic use. This work involves local, national and international collaborations. Clinical trials work involves establishing the efficacy of novel forms of analgesic therapy as well as the comparative effectiveness of long-established approaches to controlling common forms of pain such as low back pain. This spectrum of pain-related pursuits continues to evolve with the rapid expansion of the field. -
Bernard Mawuli Cobbinah
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioCobbinah Bernard Mawuli is a Postdoctoral Scholar at Stanford University in the Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine. He is passionate about the intersection of AI and medicine, focusing on developing robust and effective approaches for preventive and predictive healthcare. His research aims to deepen the understanding of high-dimensional multi-omics medical data using advanced machine learning techniques. By exploring innovative ways to analyze this data, his work contributes to improved treatments and enhanced patient care. Through the analysis of large patient datasets, his goal is to create tools that empower clinicians to make more informed decisions, ultimately improving healthcare outcomes for all.
Prior to joining Stanford, he pioneered robust federated learning techniques for evolving data streams and developed methods to reduce multi-center MRI variability in diagnosing brain disorders. -
Sheila E. Cohen
Professor (Clinical) of Anesthesia, Emerita
Current Research and Scholarly InterestsOur obstetric anesthesia group is interested in a variety of topics including the efficacy and mechanism of action of spinal and epidural opioids for production of analgesia during labor, and the functionality of epidural analgesia for labor pain relief.
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Robert P. Cowan, MD, FAAN, FAHS
Clinical Professor, Adult Neurology
Clinical Professor (By courtesy), Anesthesiology, Perioperative and Pain MedicineCurrent Research and Scholarly InterestsCurrent interest focus on patient education technology and patient/physician communication with a particular emphasis on tools which increase encounter efficiency and improve outcomes. Basic research focuses on mechanisms of action in Chronic Daily Headache, with a particular emphasis on New Daily Persistent Headache. Techniques include fMRI, biomarker investigation and evoked potentials. Clinical research includes clinical trials of novel treatments for episodic and chronic headache forms.
