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Stanford Christens the “Tianqiao and Chrissy Chen Ideation and Prototyping Lab”
Lab will provide engineering support for bench-to-bedside innovation. Redwood City, Calif. – March 3, 2025 – In a ribbon-cutting ceremony today, Stanford University officially inaugurated the Tianqiao and Chrissy Chen Ideation and Prototyping Lab within the Stanford Nanofabrication Facility. This new lab aims to bolster medtech innovations on Stanford’s campus by fostering a community centered […]
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Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports
USCF Chen Scholar, Rima Arnout, MD, was part of a team whose research was recently published in the journal Nature focusing on recent innovations in cardiac ultrasound. Big data can revolutionize research and quality improvement for cardiac ultrasound. Text reports are a critical part of such analyses. Cardiac ultrasound reports include structured and free text […]
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Artificial intelligence models using F-wave responses predict ALS
Chen Scholar, Nathan P. Staff, M.D., Ph.D. a Professor of Neurology at the Mayo Clinic College of Medicine and Science, and colleagues recently published research in the journal Brain which focuses on improving the diagnosis and prognosis of amyotrophic lateral sclerosis (ALS), a severe motor neuron disease, using advanced artificial intelligence (AI) techniques. ALS is […]
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Chen Scholar Awarded a Biden Administration Presidential Early Career Award for Scientists and Engineers.
Mass General Hospital Chen Scholar Marc Wein, MD, PhD, was awarded a Presidential Early Career Award for Scientists and Engineers (PECASE), an honor bestowed by the U.S. government on outstanding scientists and engineers early in their careers. Read more on the White House Archives
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Chen Institute Hosts World-leading Experts for Two-Day Meeting on FUS Neuromodulation
Group discusses promising areas for breakthroughs in the non-invasive technology. On January 9-10, the Chen Institute hosted leaders in the field of Focused Ultrasound (FUS) for an invitation-only meeting centered on the current state and future potential of FUS neuromodulation. During the meeting, attendees discussed some of the latest advances and explored the collective, potential […]
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How Different Learning Modes May Explain Problem Gambling
Caltech’s John O’Doherty is on a quest to understand how human brains make decisions: how they gather evidence about their environments and their own impacts on these environments and then apply this information to their decision-making. Researchers in his lab examine subjects to find how brains learn from positive and negative feedback, and why some […]
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Thinking Slowly: The Paradoxical Slowness of Human Behavior
Caltech researchers have quantified the speed of human thought: a rate of 10 bits per second. However, our bodies’ sensory systems gather data about our environments at a rate of a trillion bits per second, which is 100 million times faster than our thought processes. This new study raises major new avenues of exploration for […]
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Improving Brain–Machine Interfaces with Machine Learning
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals associated with a particular thought and converts them into control signals that are fed into a computer or a robotic limb. For example, a quadriplegic […]
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New Study Demonstrates How Autonomic Neurons Control Digestive Functions
The autonomic nervous system orchestrates the functions of internal organs such as the heart and gut, serving as a connection between the brain and the rest of the body. It is classified in two divisions—the sympathetic and parasympathetic systems, often described as the body’s accelerator and brake, respectively. For example, the sympathetic nervous system activates […]