NSF Track 2 CRESH: Workshop on AI and Data Science in Smart Health 2021
Thursday July 22 - Friday July 23, 2021. Lecture Details Below
Lecture Details
Keynote 1: Artificial Intelligence and mHealth Technologies for Disease Screening and Diagnostics
Outside of the clinical environment, thirty years ago, we began to see the use of mobile phones and text messaging in global health for tracking disease, creating maps and sending alerts. Over the past 15 years, the advent of smart phones and artificial intelligence, have now created new generations of technology platforms that can add new value to outpatient care, public health and enabling personalized medicine. Wearable sensors, and technologies such as computer vision and augmented reality, coupled with machine learning algorithms, are now providing new means of identifying and monitoring disease outside the clinic, and making these functions accessible to low-skilled workers as well as to patients themselves.
I will present some work from our group over the past 10 years, and provide examples in the domains of global health, behavior medicine, and mental health. I will also discuss emerging opportunities and current challenges for technology researchers.
Speaker(s)
Rich Fletcher, PhD
Rich Fletcher directs the Mobile Technology Group within the MIT Mechanical Engineering (http://www.mobiletechnologylab.com) which develops a variety of mobile sensors, analytic tools, and diagnostic algorithms to study problems in global health, point of care diagnostics, mental health, and behavior medicine (e.g. substance abuse). Dr. Fletcher is also an assistant professor at University of Massachusetts Medical School department of Psychiatry. Dr. Fletcher earned undergraduate degrees in Physics and Electrical Engineering from MIT with graduate degrees in Information technology, wireless sensors, RFID, and Internet of Things; he has previously worked in the US Air Force, MIT Media Lab, and Harvard/Mass General Hospital producing over a 20 US patents and several spin-off companies. Dr. Fletcher has been funded by NIH, the Bill and Melinda Gates Foundation, USAID, Vodafone and the Tata Trust, with the aim of bridging together the fields of engineering and medicine, Contact: fletcher@media.mit.edu
Keynote 2: The Future is Now: Perspectives on Artificial Intelligence, Modeling and Simulation
TBD
Speaker(s)
Patty Mabry, PhD
Patricia L. Mabry, PhD. is an interdisciplinary scientist who applies cutting edge methodologies (modeling and simulation, data science, network science, Artificial Intelligence) to research questions in healthcare, tobacco control, diabetes, obesity, colorectal cancer screening, and science of science. She spent many years at NIH including the National Cancer Institute’s Tobacco Control Research Branch, the Office of Behavioral and Social Sciences Research (OBSSR) and the Office of Disease Prevention (ODP). Dr. Mabry founded the NIH Systems Science program and the annual training program, Institute on Systems Science and Health. At ODP, she led a team in developing a machine learning-based portfolio analysis tool for classifying NIH-funded prevention research. She was the founding Executive Director and a Sr. Research Scientist at the Indiana University Network Science Institute where she co-developed CADRE (https://cadre.iu.edu/), a cloud-based science gateway to empower researchers to perform reproducible big data analytics on bibliographic data. Dr. Mabry joined HealthPartners Institute in 2019 as a Research Investigator where she is leading several projects: development of a dynamic simulation model to inform strategies for increasing colorectal cancer screening uptake, a feasibility study on using a blood glucose simulation model to improve diabetes patient self-management, and the application of Artificial Intelligence to bibliographic data to understand how patterns of social capital accumulation in scholarly career trajectories may contribute to the Matthew Effect observed in NIH R01 funding. Dr. Mabry has published scientific articles on tobacco cessation, tobacco policy modeling, systems science, reproducibility, mentoring, and more. Career highlights include contributing to the 2014 Surgeon General’s Report on the Health Consequences of Smoking, co-leading the Envision obesity modeling network, and chairing the 3rd International Meeting on Social Computing Behavioral Modeling and Prediction (SBP). Her accolades include Golden Apple Teaching Awards from the Medical University of South Carolina, awards for federal service, and the Applied Systems Thinking Award. Dr. Mabry holds a PhD in clinical psychology from the University of Virginia and is a Fellow of the Society of Behavioral Medicine.
Tutorial 2: Hands-on with AI Platforms
This session will focus on the use three platforms or frameworks for big data science and artificial intelligence. This will be a hands-on session and participants will examine and use the discussed frameworks to analyze large datasets and experiment with machine learning methodologies. As this is a hands-on session, participants will need to have access to a laptop or desktop computer (rather than a phone or Ipad). Also, since some of the activities will use tools from Google, each participant should have a Google account (such as gmail).
Speaker(s)
Don McLaughlin
Don McLaughlin is a project manager for the CRESH project and an instructor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. His teaching portfolio include data science, artificial intelligence and computer graphics. Formerly, he managed the high performance computer facility at WVU. He was also West Virginia University’s representative to Internet2 for a number of years.
For more information, please contact Don Adjeroh, PhD, Professor and Associate Chair of LCSEE, Project Lead PI.