Stanford University
Showing 181-190 of 655 Results
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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. -
Andrew Gentles
Assistant Professor (Research) of Pathology, of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology
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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.
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Paul George, MD, PhD
Associate Professor of Neurology (Adult Neurology) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsCONDUCTIVE 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.
