School of Medicine
Showing 11,721-11,740 of 13,027 Results
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Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
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Vance Vanier, M.D.
Clinical Assistant Professor, Emergency Medicine
Current Research and Scholarly InterestsPrimary and secondary prevention of disease through the use of preventive genomic medicine. Patients who have greater insight into their genetic risk for different diseases may change their lifestyles and decrease their probablity of succumbing to conditions such as diabetes and cardiovascular events. Personalized screening regimens for those at increased genetic risk, such as for colon cancer, is another important application worthy of validation.
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Anubodh Sunny Varshney
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Anubodh Sunny Varshney is a Clinical Assistant Professor, Medical Director of Mechanical Circulatory Support, and Associate Director of the Fellowship Program in the Section of Advanced Heart Failure, Transplant Cardiology, and Mechanical Circulatory Support at Stanford. In addition to caring for patients with advanced heart disease, he is also a clinical researcher and works to identify patient groups that have sub-optimal outcomes with current therapies, define benchmark outcomes that next generation therapies should improve upon, and understand factors that influence adoption of novel drug and device therapies for cardiovascular disease.
Dr. Varshney earned a BS in biomedical engineering from Washington University in St. Louis and an MD from the University of Texas Southwestern Medical School. He completed residency in Internal Medicine and fellowship in Cardiovascular Medicine at Brigham & Women’s Hospital/Harvard Medical School and fellowship in Advanced Heart Failure, Transplant Cardiology, and Mechanical Circulatory Support at Stanford University.
Dr. Varshney also has experience advising multiple medical device, drug, and digital health start-ups and currently serves as a Venture Advisor at Broadview Ventures, a philanthropically-funded, mission-driven investment organization that invests in early-stage companies developing technologies that have the potential to improve outcomes for patients with cardiovascular disease or stroke. -
Kunal Varshneya
MD Student with Scholarly Concentration in Clinical Research, expected graduation Spring 2026
BioMedical student interested in orthopedic surgery and big data analytics.
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Nina Vasan, MD, MBA
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsAt Brainstorm: The Stanford Lab for Mental Health Innovation, we lead the way in digital well-being: translating cutting-edge research into practical solutions for healthier tech use.
We are first and foremost practicing physicians; we treat patients and families. Then, grounded by the foundational oath in medicine to “do no harm,” we help companies build products that prioritize user health with responsibility and care. Our work has shaped platforms used by millions—helping Pinterest design "compassionate search", guiding TikTok in healthy screen-time management, and partnering with ML Commons to establish the first mental health safety benchmarks for large language models (LLMs).
Brainstorm is further committed to “do good” by leveraging these technologies to build a healthier digital world. We advised Dove’s Self-Esteem Project and Real Beauty Prompt Playbook, which studied AI’s impact on beauty and set new digital standards of representation. Additionally, after sharing the results of research conducted with the Stanford Center for AI Safety on the ethics, efficacy, and safety of LLMs providing mental health support, we developed the “Framework for Healthy AI” to guide industry best practices in AI product innovation.
As we apply this expertise to improve users' daily lives, it’s clear that addressing digital intimacy presents unique challenges compared to traditional human relationships. This technology is still emerging, and we are all adapting to it in real-time as it evolves. The big question is: How can we help users cultivate healthy, safe digital relationships?
After seeing success with the Stanford Social Media Safety Plan, which reduced harmful digital behaviors among users, we are now designing the Stanford GenAI Psychological Safety Plan (GPS). The Stanford GPS is a tool to help individuals, tech developers, and policymakers navigate this new terrain and make informed decisions about AI’s role in mental health.
Check out the start of the Stanford GPS in Fortune: This 4-question quiz from Stanford psychiatrists can help protect from the dangers of AI. -
Minal Vasanawala
Clinical Associate Professor (Affiliated), Rad/Nuclear Medicine
Staff, Radiology - Diagnostic RadiologyCurrent Research and Scholarly InterestsPET/MRI, PETCT, and SPECT/CT applications in neuroimaging
Cardiac SPECT/CT and PET/CTA -
Shreyas Vasanawala, MD/PhD
William R. Brody Professor of Pediatric Radiology and Child Health
Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.
