Detecting COVID-19 or Breast Cancer Through Medical Imaging
Digital Education Programming Presented by the
Center for Health & Wellbeing
COVID-19 is a new disease on the world stage and one that we’re still learning more about. One of the doctors on the forefront of this pandemic is Dr. Dexter Hadley, who leads world-class projects combining medical imaging, artificial intelligence and blockchain technologies to help diagnose and verify diseases—most recently COVID-19 and breast cancer studies with the National Institute of Health.
Join Dr. Hadley alongside Dr. David Metcalf, senior researcher at UCF’s Simulation and Training Mixed Emerging Technology Integration Lab (IST METIL), to learn about Dr. Hadley’s fascinating new research. You’ll also learn how you can help with these important initiatives as a “data philanthropist.”
By participating in this program, you can expect to:
- explore new medical diagnosis technologies.
- see the early results of Dr. Hadley’s work.
- learn how you can get involved in “data philanthropy.”
This program is presented by Dr. Dexter Hadley and Dr. David Metcalf and is hosted by the Winter Park Health Foundation.
About Your Program Presenters
About Dr. Dexter Hadley
Dr. Dexter Hadley’s expertise is in translating big data into precision medicine and digital health. He earned his Ph.D. in Genomics and Computational Biology while at medical school at PENN, and he trained in Clinical Pathology while at 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 NIH-funded models of curation for clinical applications of digital health to more precisely screen, diagnose, and manage disease. He was repeatedly recognized by UCSF 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.
As a new faculty member of the University of Central Florida College of Medicine, he is pioneering a new Division of Artificial Intelligence to leverage the transformative power of AI from medical school through clinical practice. In general, the end point of his work is rapid proofs of concept clinical trials in humans that translate into better patient outcomes and reduced morbidity and mortality across the spectrum of disease.
About Dr. David Metcalf
Dr. David Metcalf is a senior researcher at the Institute for Simulation & Training Mixed Emerging Technology Integration Lab (IST METIL) with a 15-year history in web-based and mobile learning. He focuses on bridging the gap between corporate learning, simulation techniques and the use of technology to improve human performance.