School of Medicine
Showing 2,661-2,680 of 4,380 Results
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Jonathan N. Myers
Clinical Professor (Affiliated), Medicine - Med/Cardiovascular Medicine
BioDr. Myers is a Health Research Scientist at the Palo Alto VA Health Care System; a Clinical Professor at Stanford University (Affiliated), and a Senior Research Career Scientist Award recipient through the VA Rehabilitation Research and Development Program. His research has focused on primary and secondary prevention, and the clinical applications of exercise testing and rehabilitation in patients with cardiovascular disease and other chronic conditions. He has a lengthy history of studying the epidemiology of cardiopulmonary exercise test responses, physical activity patterns, and other lifestyle factors and their relation to health outcomes. He manages the Veterans Exercise Testing Study (VETS), an ongoing, prospective evaluation of Veteran subjects referred for exercise testing for clinical reasons, designed to address exercise test, clinical, and lifestyle factors and their association with health outcomes.
He earned his bachelor’s degree from the University of California, Santa Barbara, his master's degree from San Diego State University, and his doctorate from the University of Southern California. He has been a board member for many organizations including the American Heart Association (AHA), the American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR), and the American College of Sports Medicine (ACSM), and serves on the editorial board for 9 journals. He is a recipient of the Michael Pollock Established Investigator Award through the AACVPR, a recipient of the Steven N Blair Award for excellence in physical activity research from the AHA Council on Epidemiology and Prevention and is the 2022 recipient of the American College of Sports Medicine Citation Award. He is a fellow of the AACVPR, ACSM, American College of Cardiology, and the AHA, and has authored and co-authored guidelines on exercise testing and rehabilitation for each of these organizations, including the 2021 editions of the ACSM and AACVPR guidelines. -
Behzad Naderalvojoud
Biostatistician 2, Computational Medicine
BioBehzad Naderalvojoud is a biomedical informatics scientist at the Stanford Center for Biomedical Informatics Research. He received his Ph.D. degree in computer science at Hacettepe University, Turkey, in 2020. He is immersed in the fields of machine learning, deep learning, natural language understanding, and Big data analytics and works on health knowledge discovery platforms that transfer Big health data from volume-based to value-based by generating relational knowledge leading to innovative treatments, predictive therapeutic outcomes, and early diagnosis. He was the leader of many industrial AI projects in the fields of healthcare intelligence and information management in the Eureka cluster programs.
Dr. Naderalvojoud has published several papers in the field of natural language understanding by working on word sense disambiguation, sentiment analysis, neural word embeddings, and deep learning models through national and international projects.
He is currently working on the funded NLM grant project "Advancing Knowledge Discovery for Postoperative Pain Management" under the supervision of Dr. Tina Hernandez-Boussard. He develops descriptive, predictive, and analytical tools using OMOP CDM for postoperative pain research to facilitate timely generation of evidence across multiple populations and settings. -
Ronjon Nag, PhD
Adjunct Professor, Genetics
BioRonjon Nag is an inventor, teacher and entrepreneur. He is an Adjunct Professor in Genetics at the Stanford School of Medicine, becoming a Stanford Distinguished Careers Institute Fellow in 2016. He teaches AI, Genes, Ethics, Longevity Science and Venture Capital. He is a founder and advisor/board member of multiple start-ups and President of the R42 Group, a venture capital firm which invests in, and creates, AI and Longevity companies. As an AI pioneer of smartphones and app stores, his companies have been sold to Apple, BlackBerry, and Motorola. More recently he has worked on the intersection of AI and Biology. He has been awarded the IET Mountbatten Medal by the Institution of Engineering and Technology, the 2021 IEEE-SCV Outstanding Engineer Award, the $1m Verizon Powerful Answers Award, the 2023 COGX AI Lifetime Achievement Award, the 2023 MIT Great Dome Award, and was the 2024 Inductee in the Silicon Valley Engineering Hall of Fame. Professor Nag has a Ph.D from Cambridge, an M.S from Massachusetts Institute of Technology and a B.Sc. from Birmingham in the UK. He has numerous interests in the intersection of AI and Healthcare including being CEO of Agemica.ai working on creating a vaccine for aging.
He has many firsts including:
Firsts:
• First laptop with speech recognition built-in (with Apricot, 1984)
• First selling cursive handwriting recognition (with Lexicus, 1991)
• First speech recognition phones (with Lexicus/Motorola, 1996)
• First large-vocabulary Chinese speech recognition (with Lexicus/Motorola, 1996)
• First Chinese predictive text system on a phone (Lexicus/Motorola, 1997)
• First predictive text systems in 40 languages on Motorola phones, (Lexicus/Motorola, 1997)
• First touch screen mobile phone with handwriting recognition (Lexicus/Motorola, 1999)
• First combined mobile search engine and directory (with Cellmania, 2000)
• First private label downloadable operator billable apps store (Cellmania, 2000)
• First BlackBerry Operator Billing apps store (Cellmania,2010)
• First Neural Network Artificial Intelligence System in the Cloud (Ersatz Labs, 2014)
• First Throwable 360 Ball Camera (Bounce Imaging, 2015)
• First Android powered smart light switch (Brightswitch 2017)
• First blood pressure watch with temperature and pulse oximetry add-ons for Back to Work Covid Kit (GTCardio 2019)
• First no code AI life sciences app store (Superbio.ai 2022)
• First proposal for an aging vaccine (Agemica 2023) -
Ramesh Nair
Director of Bioinformatics, SCGPM, Genetics
Current Role at StanfordDirector, Bioinformatics
Stanford Center for Genomics and Personalized Medicine (SCGPM)
Bioinformatics-as-a-Service (BaaS)
Genetics Bioinformatics Service Center (GBSC)
Diabetes Genomics Analysis Core (DGAC)
Stanford University School of Medicine
