School of Medicine
Showing 41-60 of 213 Results
Sharon Markham Geaghan
Associate Professor of Pathology at the Stanford University Medical Center, Emerita
Current Research and Scholarly Interests Pediatric Hematopathology, Pediatric Laboratory Medicine and Pathology
Assistant Professor of Medicine (Primary Care and Population Health)
Bio Pascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health. He has been a study coordinator and postdoctoral research fellow with the Harvard T.H. Chan School of Public Health in Tanzania and Eswatini, completed the Young Professionals Program of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) in Namibia, and was a German National Merit Scholar.
Linda N. Geng, MD, PhD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly Interests My scholarly interests are focused on defining, studying, and improving patients' diagnostic journeys. What prolongs the journey to the correct diagnosis and how can we shorten it? With this question in mind, we are exploring crowdsourcing, informatics/AI, health data visualization, and advanced laboratory testing as ways to help tackle the toughest cases in medicine-- complex, rare, and mystery conditions.
Clinical Professor, Psychiatry and Behavioral Sciences - Child and Adolescent Psychiatry
Current Research and Scholarly Interests Dr. Grace Gengoux is Director of the Autism Intervention Clinic and leads an autism intervention research program focused on developing and evaluating promising behavioral and developmental treatments for Autism Spectrum Disorder (ASD).
Dr. Gengoux is also the Psychiatry Department Well-being Director and leads the Department of Psychiatry Well-being Workgroup.
James W. Raitt M.D. Professor, Emeritus
Current Research and Scholarly Interests Clinical trials and interventions in the rheumatic diseases including Rheumatoid Arthritis,Systemic Lupus Erythematosus, Systemic Sclerosis, Osteoarthritis.
Assistant Professor (Research) of Medicine (Biomedical Informatics) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly Interests Computational systems biology of human disease. Particular focus on integration of high-throughput datasets with each other, and with phenotypic information and clinical outcomes.
Paul George, MD, PhD
Assistant Professor of Neurology and, by courtesy, of Neurosurgery at the Stanford University Medical Center
Current Research and Scholarly Interests CONDUCTIVE POLYMER SCAFFOLDS FOR STEM CELL-ENHANCED STROKE RECOVERY:
We focus on developing conductive polymers for stem cell applications. We have created a microfabricated, polymeric system that can continuously interact with its biological environment. This interactive polymer platform allows modifications of the recovery environment to determine essential repair mechanisms. Recent work studies the effect of electrical stimulation on neural stem cells seeded on the conductive scaffold and the pathways by which it enhances stroke recovery Further understanding the combined effect of electrical stimulation and stem cells in augmenting neural repair for clinical translational is a major focus of this research going forward.
BIOPOLYMER SYSTEMS FOR NEURAL RECOVERY AND STEM CELL MODULATION:
The George lab develops biomaterials to improve neural recovery in the peripheral and central nervous systems. By controlled release of drugs and molecules through biomaterials we can study the temporal effect of these neurotrophic factors on neural recovery and engineer drug delivery systems to enhance regenerative effects. By identifying the critical mechanisms for stroke and neural recovery, we are able to develop polymeric technologies for clinical translation in nerve regeneration and stroke recovery. Recent work utilizing these novel conductive polymers to differentiate stem cells for therapeutic and drug discovery applications.
APPLYING ENGINEERING TECHNIQUES TO DETERMINE BIOMARKERS FOR STROKE DIAGNOSTICS:
The ability to create diagnostic assays and techniques enables us to understand biological systems more completely and improve clinical management. Previous work utilized mass spectroscopy proteomics to find a simple serum biomarker for TIAs (a warning sign of stroke). Our study discovered a novel candidate marker, platelet basic protein. Current studies are underway to identify further candidate biomarkers using transcriptome analysis. More accurate diagnosis will allow for aggressive therapies to prevent subsequent strokes.
Clinical Assistant Professor, Cardiothoracic Surgery
Bio Dr. Rabin Gerrah is a cardiothoracic surgeon and specializes in surgical treatment of heart diseases such as ischemic, valvular, structural and congenital heart diseases. He has been trained at Harvard University and Columbia University Hospitals. Dr. Gerrah has been involved in multiple medical research projects and has patented and developed innovative surgical devices and technologies.
Senior Associate Dean for Educational Affairs, Professor of Energy Resources Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Civil and Environmental Engineering
Current Research and Scholarly Interests Research
My work is about understanding and simulating complicated fluid flow problems. My research focuses on the design of highly accurate and efficient parallel computational methods to predict the performance of enhanced oil recovery methods. I'm particularly interested in gas injection and in-situ combustion processes. These recovery methods are extremely challenging to simulate because of the very strong nonlinearities in the governing equations. Outside petroleum engineering, I'm active in coastal ocean simulation with colleagues from the Department of Civil and Environmental Engineering, yacht research and pterosaur flight mechanics with colleagues from the Department of Mechanical and Aeronautical Engineering, and the design of search algorithms in collaboration with the Library of Congress and colleagues from the Institute of Computational and Mathematical Engineering.
I teach courses in both energy related topics (reservoir simulation, energy, and the environment) in my department, and mathematics for engineers through the Institute of Computational and Mathematical Engineering (ICME). I also initiated two courses in professional development in our department (presentation skills and teaching assistant training), and a consulting course for graduate students in ICME, which offers expertise in computational methods to the Stanford community and selected industries.
Senior Associate Dean, School of Earth, Energy and Environmental Sciences, Stanford (from 2015); Director, Institute for Computational and Mathematical Engineering, Stanford (from 2010); Stanford Fellow (2010-2012); Magne Espedal Professor II, Bergen University (2011-2014); Aldo Leopold Fellow (2009); Chair, SIAM Activity group in Geosciences (2007, present, reelected in 2009); Faculty Research Fellow, Clayman Institute (2008); Elected to Council of Society of Industrial and Applied Mathematics (SIAM) (2007); organizing committee, 2008 Gordon Conference on Flow in Porous Media; producer, Smart Energy podcast channel; Director, Stanford Yacht Research; Co-director and founder, Stanford Center of Excellence for Computational Algorithms in Digital Stewardship; Editor, Journal of Small Craft Technology; Associate editor, Transport in Porous Media; Reviewer for various journals and organizations including SPE, DoE, NSF, Journal of Computational Physics, Journal of Scientific Computing, Transport in Porous Media, Computational Geosciences; member, SIAM, SPE, KIVI, AGU, and APS
Senior Associate Dean for Medical Education and Professor (Teaching) of Medicine (Endocrinology)
Current Research and Scholarly Interests Our medical education research group is developing and validating the best educational practices to train competent, compassionate, and ethical physicians and physician-scientists. We are studying the use of standardized patients and other modalities to improve clinical skill training and reasoning. We are interested in applying the rigor of clinical investigation to education research.
My areas of clinical interest in endocrinology include disorders of the pituitary, thyroid, and gonad.
Assistant Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly Interests My lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
Clinical Professor, Neurosurgery
Current Research and Scholarly Interests Principal Investigator,
?Concussion Definition Consortium ? An Evidence Based Project?. Department of Defense. There are over 40 definitions of concussion but none are evidence based- i.e. come from well done studies. We will extract the most salient data from well run studies that are designed to give us a "snapshot" of what concussion is.
?Multi-Dimensional Model for Brain Trauma?. The goal is to develop a dynamic model for concussion, validate it on a retrospective dataset, and design a second study to validate it on a prospective dataset. Department of Defense.
?EYE-TRAC Advance?. Testing 10,000 subjects with normal and post concussive eye tracking. Military and civilian athletes are included. Department of Defense.
B-TEC (Brain Trauma Evidence-based Consortium). Combines Stanford B-TEC clinical trials coordinating center with the Brain Trauma Foundation's B-TEC evidence-based center to promote and coordinate an evidence-based approach to the spectrum of brain trauma from concussion to coma.