School of Medicine
Showing 1-20 of 360 Results
-
Kari Nadeau, MD, PhD
Professor - University Medical Line, Medicine
Current Research and Scholarly InterestsDr. Kari Nadeau’s laboratory and clinical research is focused on understanding the role of genes and the environment, including climate change, on the rising incidence of allergies and asthma. By understanding the genetic, epigenetic, cellular, and humoral factors that mediate immune tolerance or allergy to foods, aeroallegens, and air pollutants (e.g., diesel emissions and wildfires), her research is laying the groundwork for potential future therapies to prevent and cure allergies and asthma.
-
Helen Nadel
Clinical Professor, Radiology - Pediatric Radiology
Current Research and Scholarly InterestsClinical research and scholarly interests include topics in Pediatric Nuclear Medicine to include AI evaluation for scintigraphic quantitation, PET MR evaluation of optimized techniques for use in pediatric patient management
-
Behzad Naderalvojoud
Postdoctoral Scholar, Biomedical Informatics
BioBehzad Naderalvojoud is a Postdoctoral Research Fellow at 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
Casual - Other Teaching Staff
BioRonjon Nag first became a Stanford Distinguished Careers Institute Fellow in 2016, is currently a Visiting Fellow at the Stanford Center for the Study of Language and Information (CSLI) and teaches popular classes at the intersection of AI healthcare through Stanford Continuing Studies. He is a researcher on the future of intelligence and its impact on society as part of the Stanford Boundaries of Humanity Project (boundariesofhumanity.stanford.edu). He has deployed artificial intelligence systems for mobile devices over three decades, working on neural networks at Cambridge, where he received a PhD in engineering; at Stanford, where he was a Harkness Fellow in the Psychology Department; at MIT, where he received an MS, and at the University of Birmingham, UK where he received a BSc. He received the IET Mountbatten Medal at the Royal Institution for his contributions to the modern mobile phone industry. Companies he has co-founded or advised have been sold to Motorola, BlackBerry, where he held Vice-President positions, and Apple. He is currently an advisor, founder and on the boards of numerous high tech companies including Ecrio, Embee Mobile and GTCardio and he is President of the R42 Institute. Via his company Bounce Imaging where he is chairman, he was winner of the $1m Verizon Powerful Answers Award. He has numerous interests in the intersection of AI and Healthcare including advising companies such as HealX, and Oxford Drug Design on computational drug discovery.
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) -
Claude M. Nagamine, DVM, PhD
Associate Professor of Comparative Medicine
Current Research and Scholarly InterestsMouse models to study murine and human infectious diseases. These colloborative studies include dengue virus, zika virus, adeno-associated virus, coxsackie virus, enterovirus 71, enterohepatic helicobacters, campylobacters, and anaplasma.
-
Dhriti Nagar
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioPremature birth is a leading cause of developmental and neuropsychiatric disorders in children. One of the factors causing these defects is lowered levels of available oxygen (hypoxia) in the newborn due to immature lungs. My research focuses on understanding the cellular and molecular mechanisms underlying hypoxia-induced developmental disorders of the nervous system due to preterm birth.
-
Seema Nagpal, MD
Clinical Associate Professor, Neurology & Neurological Sciences
Clinical Associate Professor (By courtesy), NeurosurgeryCurrent Research and Scholarly InterestsI'm a board certified neuro-oncologist who treats both primary brain tumors as well as metastatic disease to the brain and nervous system. My research concentrates on clinical trials for patients with late-stage central nervous system cancer. I have a special interest in leptomeningeal disease, a devastating complication of lung and breast cancers. I collaborate with Stanford scientists to detect this disease earlier, and with our breast and lung oncologists to improve outcomes for patients.