Sign up to save your podcasts
Or
Share Community Driven Artificial Intelligence in the Metaverse of Medical Data w/ Dexter Hadley, M.D. PhD
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Community Driven Artificial Intelligence in the Metaverse of Medical Data w/ Dexter Hadley, M.D. PhD
In this episode, I speak with a national thought-leader on community driven AI and the Metaverse with Dr. Hadley.
Dr. Hadley’s expertise is in translating big data into precision medicine and digital health. He earned his PhD in genomics and computational biology while at medical school at university of Pennsylvania and he trained in clinical pathology while in residency at Stanford University. His research generates, annotates, and ultimately reasons over large multi-modal data stores to develop clinical intelligence, identify novel biomarkers and potential therapeutics for disease.
His early work at the Center for Applied Genomics at The Children’s Hospital of Philadelphia resulted in a successful precision medicine clinical trial for ADHD (ClinicalTrials.gov Identifier: NCT02286817) for a first-in-class, non-stimulant neuromodulator to be targeted across the neuropsychiatric disease spectrum.
As an early principal investigator at the University of California San Francisco, his laboratory was funded by the NIH Big Data to Knowledge initiative to develop the stargeo.org as an open curation resource to discover the functional genes and biological pathways that are defective in disease.
He went on to develop National Institute of Health-funded models of curation for clinical applications of digital health to more precisely screen, diagnose, and manage disease.
He was repeatedly recognized by University of California San Francisco with various awards including the inaugural Marcus Award for Precision Medicine to develop a digital learning health system to use smartphones to screen for skin cancer as well as a pilot award in precision imaging to better screen mammograms for invasive breast cancer.
https://www.hadleylab.org/
View all episodes
By Dr. Rich GreenhillIn this episode, I speak with a national thought-leader on community driven AI and the Metaverse with Dr. Hadley.
Dr. Hadley’s expertise is in translating big data into precision medicine and digital health. He earned his PhD in genomics and computational biology while at medical school at university of Pennsylvania and he trained in clinical pathology while in residency at Stanford University. His research generates, annotates, and ultimately reasons over large multi-modal data stores to develop clinical intelligence, identify novel biomarkers and potential therapeutics for disease.
His early work at the Center for Applied Genomics at The Children’s Hospital of Philadelphia resulted in a successful precision medicine clinical trial for ADHD (ClinicalTrials.gov Identifier: NCT02286817) for a first-in-class, non-stimulant neuromodulator to be targeted across the neuropsychiatric disease spectrum.
As an early principal investigator at the University of California San Francisco, his laboratory was funded by the NIH Big Data to Knowledge initiative to develop the stargeo.org as an open curation resource to discover the functional genes and biological pathways that are defective in disease.
He went on to develop National Institute of Health-funded models of curation for clinical applications of digital health to more precisely screen, diagnose, and manage disease.
He was repeatedly recognized by University of California San Francisco with various awards including the inaugural Marcus Award for Precision Medicine to develop a digital learning health system to use smartphones to screen for skin cancer as well as a pilot award in precision imaging to better screen mammograms for invasive breast cancer.
https://www.hadleylab.org/