Stanford GME News & Events
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Biodesign for Digital Health
Interested in digital health technology innovation? Consider taking BIOE 273, MED 273: Biodesign for Digital Health (FALL Quarter, 2024-25) BIOE 273 / MED 273 Biodesign for Digital Health is offered in the Fall to students across Stanford. We invite you to apply to an exciting course that will give you the insights and tools needed to become a part of the future of healthcare. As telehealth visits become more commonplace, remote care an important approach for access and scale, and AI an engine to dramatically improve healthcare insights and operations, digital health solutions will play a bigger role in overall healthcare delivery.
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GME Generic Loan Request
GME is happy to announce the generic Loan request Email address StanfordGMELoans@stanford.edu effective immediately. House Staff are to direct their loan deferment/forbearance/certification requests in either PDF or e-form format to StanfordGMELoans@stanford.edu Pls. allow 5-10 business days for processing. House Staffs workhours average reported should match their recent academic workhours average. House Staff is responsible for communicating and submitting their forms to their lenders.
Stanford Medicine News
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AI in science and medicine: A deep dive from the AI Index Report
Russ Altman discusses how artificial intelligence improves patient care and expands research capacity, as reported by the AI Index from the Institute for Human-Centered Artificial Intelligence.
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Stanford Life Flight’s new helicopter will reach more patients in need
The upgrade brings one of the most advanced emergency medical helicopters in the world to Northern California. The new aircraft expands in-flight treatment capabilities and improves fast, safe transport of patients in critical condition.
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AI models of the brain could serve as ‘digital twins’ in research
In a new study, researchers created an AI model of the mouse visual cortex that predicts neuronal responses to visual images.
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Unique Stanford Medicine-designed AI predicts cancer prognoses, responses to treatment
A new artificial intelligence tool developed at Stanford Medicine combines data from medical images with text to predict cancer prognoses and treatment responses.
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Radiation oncologist Kendric Smith dies at 98
Smith, who founded the American Society of Photobiology, was an expert in radiation-induced damage of DNA and cellular repair pathways.
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Pathology Grand Rounds: “The DNA of Discovery: How Genetics and Genomics Inform our Understanding of Complex Brain Disorders”
<b>Dan Geschwind, MD, PhD</b><br> Gordon & Virginia MacDonald Distinguished Professor Departments of Neurology, Psychiatry, and Human Genetics; Senior Associate Dean and Associate Vice Chancellor, Precision Health Director, Institute of Precision Health; Director, Center for Autism Research and Treatment
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Samsara of the Matrix: The Meniscus Reimagined for Airway and Auditory Repair
Riccardo Gottardi, PhD, University of Pennsylvania and the Children’s Hospital of Philadelphia