Stanford University
Showing 5,121-5,130 of 7,907 Results
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Robert L Norris Jr
Professor of Emergency Medicine at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsEnvironmental toxinology, with special emphasis on envenomations (particularly snake venom poisoning; Airway management techniques; Tactical medicine
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Aimee Norton
Senior Research Scientist
BioAimee A. Norton is interested in the dynamics of the solar magnetic field and the dynamo process acting in the Sun and other stars. She is also active in researching flux emergence processes and MHD waves.
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Jeffrey Norton, MD
Robert L. and Mary Ellenburg Professor of Surgery, Emeritus
Current Research and Scholarly InterestsInterleukin-12 is a Th1 cytokine. It is important in the cell mediated immune response. We are investigating its role as an anti-tumor cytokine to augment the immune response against cancer. We are planning a human trial.
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Miguel Novelo Cruz
Lecturer
BioMiguel Novelo (he/him/el) is an interdisciplinary artist, educator, and researcher who focuses on emerging media and community organizing—currently working on algorithmic video art, technoshammanic installations, thermodynamic hypnotism, and friendly computational virus-like software.
Novelo earned a Bachelor of Fine Arts from the San Francisco Art Institute in 2018, followed by a Master of Fine Arts from Stanford University in 2022. His work has been exhibited at various institutions, including the de Young Museum, the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Museo Universitario Arte Contemporáneo (MUAC) in Mexico City, and numerous international film festivals. -
Roberto Novoa, MD
Clinical Professor, Pathology
Clinical Professor, DermatologyCurrent Research and Scholarly InterestsMy research interests include the medical applications of artificial intelligence, cutaneous lymphoma, and the side effects of targeted therapies. I have served as the lead dermatologist in our ongoing effort to develop AI-augmented classification of skin lesions. We are in the process of establishing one of the first prospective studies examining the performance of a deep learning algorithm in real-world patients.
