Stanford University


Showing 3,671-3,680 of 13,043 Results

  • Grace Gengoux, PhD, BCBA-D

    Grace Gengoux, PhD, BCBA-D

    Clinical Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development

    Current Research and Scholarly InterestsDr. 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 Associate Chair for Faculty Engagement & Well-being and Department Well-being Director in the Department of Psychiatry and Behavioral Sciences, leading the department's Standing Well-being Advisory Committee.

  • Jacqueline Genovese

    Jacqueline Genovese

    Academic Prog Prof 3, School of Medicine - Biomedical Ethics

    Current Role at StanfordExecutive Director of the Medicine & the Muse Program
    LEAD Program for Residents, Mentor (2021-2024)
    Member of Stanford School of Medicine Staff Collective
    Steering Committee Member: Health Humanities Consortium (2019-2024)
    Teaching Lead, War Literature & Writing class for military affiliated students
    Co-teacher, War and Fiction for non military and military affiliated students (2017-2109)
    Facilitator, Literature & Medicine Dinner & Discussion Series
    Co-Lead: Frankenstein@200 2017-2018 Initiative
    Member of Stanford Medicine Arts & Mindfulness Committee (Stanford Health)

  • Mark Genovese

    Mark Genovese

    James W. Raitt M.D. Professor, Emeritus

    Current Research and Scholarly InterestsClinical trials and interventions in the rheumatic diseases including Rheumatoid Arthritis,Systemic Lupus Erythematosus, Systemic Sclerosis, Osteoarthritis.

  • Michael Gensheimer

    Michael Gensheimer

    Clinical Associate Professor, Radiation Oncology - Radiation Therapy

    Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.

    I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data.

  • Heather Gentner

    Heather Gentner

    Director of Finance and Administration (SoM), Stem Cell Bio Regenerative Med Institute

    Current Role at StanfordI am the Director of Finance and Administration for the Institute for Stem Cell Biology and Regenerative Medicine (ISCBRM) in the School of Medicine. I oversee and carry out administrative and financial related functions for the department.

  • Paul George, MD, PhD

    Paul George, MD, PhD

    Associate Professor of Neurology and Neurological Sciences (Adult Neurology) and, by courtesy, of Neurosurgery

    Current Research and Scholarly InterestsDEVELOPMENT OF STROKE RECOVERY THERAPEUTICS:
    Stroke is devastating to patients and their caregivers. We currently are investigating 3 neural repair approaches. The first focuses on developing a stroke recovery therapeutic based on an essential repair pathway and how it alters the immune response following stroke. The second utilizes implantable, conductive polymer devices to electrically manipulate the recovering nervous system to improve recovery and identify novel therapeutic targets. The final approach works to optimize stem cell therapeutics to enhance their ability to treat patients who have suffered from neural injury.

    CONDUCTIVE 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 neural recovery, we are able to develop polymeric technologies for clinical translation in nerve regeneration. Recent work utilizes 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.