Stanford University
Showing 35,771-35,780 of 37,133 Results
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Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
Current Research and Scholarly InterestsThe Yang Lab focuses on next-generation solutions at the intersection of 3D printing, regenerative medicine, modular tissue engineering, biomaterials, and medical device innovation. Our research focuses on engineering dynamic, biomimetic microenvironments that promote cell growth, tissue regeneration, and functional restoration. We develop transformative technologies to treat a broad spectrum of musculoskeletal conditions—including multi-tissue healing challenges and complex traumatic injuries.
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Zhiyu Yang, MD
Affiliate, Medicine - Med/Gastroenterology and Hepatology
Visiting Scholar, Medicine - Med/Gastroenterology and HepatologyBioAs a clinical physician specializing in gastroenterology and hepatology, I am proficient in the clinical diagnosis and treatment of common gastrointestinal diseases and various liver diseases. My main research lay on metabolic related liver diseases and inflammatory bowel diseases.
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Zi Yang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioDr. Zi Yang is a Clinical Assistant Professor and an American Board of Radiology–certified medical physicist in the Department of Radiation Oncology at Stanford University. She completed her CAMPEP-accredited residency in Therapeutic Medical Physics at Stanford. Dr. Yang earned her M.S. in Medical Physics from Duke University and her Ph.D. in Biomedical Engineering - Medical Physics track from the University of Texas Southwestern Medical Center.
Her research focuses on the development and clinical translation of artificial intelligence methods to enhance radiation therapy, including applications in target segmentation, outcome prediction, and workflow optimization. She is a recipient of the American Association of Physicists in Medicine (AAPM) Research Seed Funding Grant. -
Zijian Yang
Postdoctoral Scholar, Radiology
BioI have long term interest in combining advanced science and technology to provide next generation healthcare system.
To reach that goal, I have developed machine learning based diagnosis model on the software end, which is combined with my hardware end work including wearable/flexible electronics and microelectronic/microfludic platforms.
