School of Medicine
Showing 101-150 of 660 Results
-
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.
-
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.
-
Robert P. Cowan, MD, FAAN, FAHS
Clinical Professor (By courtesy), Anesthesiology, Perioperative and Pain Medicine
Current 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.
-
Kira Crage
Casual - Non-Exempt, Anesthesiology, Perioperative and Pain Medicine
BioUndergraduate Student
- Human Biology, concentration in Children's Health and Psychological Development
Stanford Women's Varsity Swimming and Diving
- Team Captain (2022-2023) -
Ana Maria Crawford
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Ana Maria Crawford is a Clinical Professor of Anesthesiology and Critical Care Medicine. She also holds a master’s degree in Global Health Sciences. Dr. Crawford founded the Division of Global Health Equity within the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford in 2011, and she currently serves as the Director of Global Engagement Strategy. For over 20 years, she has worked to improve access to medical education and professional development for global colleagues. Dr. Crawford serves on multiple committees and boards at the local, national and international levels. With expertise in medical education and global perioperative care, she is also a consultant and advisor to several international organizations. She is the proud recipient of both the Kevin Malott and Nicholas M. Greene Humanitarian Service Awards for her work advancing perioperative and critical care globally.
-
Genevieve D'Souza
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioGenevieve D’souza MD, FASA is a Clinical Associate Professor in the Pediatric Anesthesia division of the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University. She is a Board-certified Pediatric Anesthesiologist , Fellowship trained Pediatric Pain Doctor, and trained in Medical Acupuncture.
She is a practicing Chronic Pediatric Pain Doctor at Stanford Medicine Children's Health and is also part of the Acute Pain Service. She is the Interim Medical Director of the Pediatric Pain Division. She is also the Director of the Pediatric Anesthesia Resource Center at Lucile Packard Children’s Hospital.
She is also the Senior Editor for the Visual Pearl Series For the Society of Pediatric Pain Medicine and on the Board of Directors for Society of Pediatric Pain Medicine. -
Edward J. Damrose, MD, FACS
Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Anesthesiology, Perioperative & Pain Medicine (MSD)
Current Research and Scholarly InterestsAdvanced MRI imaging for laryngeal cancer and swallowing disorders; applications of robotics in microlaryngeal surgery; high speed digital imaging of vocal fold vibration; the effects of hormones and anabolic steroids on vocal function.
-
Beth Darnall, PhD
Professor of Anesthesiology, Perioperative and Pain Medicine (Adult Pain) and, by courtesy, of Psychiatry and Behavioral Sciences (General Psychiatry & Psychology (Adult))
Current Research and Scholarly InterestsThe Stanford Pain Relief Innovations Lab is dedicated to better characterizing and treating pain with patient-centered solutions. We specialize in the conduct of large-scale acute and chronic pain clinical trials that aim to (1) expand and scale access to behavioral medicine via digital and brief treatments; (2) reduce opioid risks via reduction for some and improved opioid access for others; (3) equip healthcare providers with brief behavioral medicine interventions to optimize health outcomes.
-
Ben Deverett
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioDr. Ben Deverett, MD, PhD, is an anesthesiologist and researcher with a focus in computational neuroscience, machine learning, consciousness science, and global health.
-
Xiruo Ding
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a postdoctoral scholar at Stanford University, advised by Dr. Nima Aghaeepour, focusing on EHR-related modeling and phenotyping. My research interests lie in the application of general machine learning and deep learning methods to enhance healthcare outcomes.
-
Patricia Dionicio
Postdoctoral Scholar, Pediatric Anesthesia
BioPatricia Dionicio, PhD, MPH is a postdoctoral fellow in the Department of Anesthesiology, Perioperative and Pain Medicine in the School of Medicine at Stanford University. Her research aims to reduce health disparities in pain among underserved populations through human-centered design and digital interventions. She has expertise in integrating mixed methods with longitudinal assessment tools to understand systemic and momentary factors impacting health behavior.
