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Thomas Nelson, MD

Photo of Thomas Nelson, MD
Title(s)Assistant Professor, Neurology
SchoolSchool of Medicine
Address500 Parnassus Avenue, #E312
San Francisco CA 94117
PronounsHe/Him/His
ORCID ORCID Icon0000-0003-3942-5527 Additional info
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    Collapse Biography 
    Collapse education and training
    Kansas State University, Manhattan, KSBS2011Electrical Engineering
    University of Kansas, Kansas City, KSMD2017Medicine
    Cedars-Sinai Medical Center, Los Angeles, CA2021Neurology
    Massachusetts General Hospital, Dana-Farber Cancer Institute, and Brigham & Women's Hospital, Boston, MA2024Neuro-oncology
    Harvard T.H. Chan School of Public Health, Boston, MACertificate2023Program for Clinical Effectiveness
    Collapse awards and honors
    Massachusetts General Hospital2022  - 2024K12 Paul Calabresi Career Award for Clinical Oncology Training Program in Nervous System Tumors
    Tau Beta Pi2009Engineering Honor Society Inductee
    Eta Kappa Nu2010Electrical Engineering Honor Society Inductee
    Gold Humanism2016Honor Society Inductee
    Cedars-Sinai Medical Center2019  - 2021Standing Ovation for Outstanding Care
    Cedars-Sinai Medical Center2020Best Teaching by Resident

    Collapse Overview 
    Collapse overview
    As a practicing neuro-oncologist with a background in engineering and software development, I have in interest in pursuits that enmesh biotechnology and medicine to investigate novel interventions for the treatment of nervous system malignancies. This has included bench to bedside projects evaluating aberrations in the electrical activity within the tumor macro- and microenvironment as well as others exploring the use of automation techniques and AI to improve clinical workflow. A priority in my research is the development of highly collaborative, multidisciplinary teams spanning neurology, neurosurgery, radiology, and engineering experts to address complex problems.

    Ongoing projects include collation of a multi-investigator database within our brain tumor center to allow for exploration of various data streams for patients, modeling of markers of frailty for treatment selection, semi- and fully-automated MRI segmentation and response assessment, and translational research including clinical trials.
    Collapse Mentoring

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