Session 3: Wearable Devices, Remote Patient Monitoring, and AI-Assisted Diagnostics

Tuesday, April 23, 2024 12:45 – 2:00 PM
Location: Asbury Hall A-B, Disney Yacht Club

Session Titles:

  • Lessons Learned Developing a Digital Health Wearable Platform to Inform AI – Todd Manini, PhD
  •  Machine Learning Methods for Actigraphy – Sanjay Ranka, PhD
  • Smart Watches with ECG Functionality and Opportunities for Remote Disease Diagnosis: ECG-AI – Oguz Akbilgic, PhD

Learning Objectives:

  • Wearable options for AI development
  • Development of wearable technologies for health ascertainment
  • Remote Monitoring
  • Electrocardiography
  • Artificial Intelligence


  • Todd Manini, PhD

About the Speakers:


University of florida

Todd Manini, PhD

Dr. Manini is a Professor at University of Florida’s College of Medicine in the Department of Health Outcomes and Biomedical Informatics. He leads the Data Science and Applied Technology Core at the Older Americans Independence Center where he is focused on prevention of mobility impairments in late-life.


university of florida

Sanjay Ranka, PhD

Sanjay Ranka is a Distinguished Professor in the Department of Computer & Information Science & Engineering at the University of Florida. From 1999-2002, as the Chief Technology Officer at Paramark (Sunnyvale, CA), he developed a real-time optimization service called PILOT for marketing campaigns. PILOT served more than 10 million optimized decisions a day in 2002 with a 99.99% uptime. Paramark was recognized by VentureWire/Technologic Partners as a Top 100 Internet technology company in 2001 and 2002 and was acquired in 2002. Sanjay has also held positions as a tenured faculty member at Syracuse University, academic visitor at IBM and summer researcher at Hitachi America Limited.

His work has received 12,800+ citations with an h-index of 55 (based on Google Scholar). He has consulted for several startups and Fortune 500 companies.


wake forest university

Oguz Akbilgic, PhD

Oguz Akbilgic, DBA, PhD is a biomedical informaticist, innovator and entrepreneur with training and expertise in machine learning, statistical modeling and business administration. His research focus is on the development of AI models for detection, risk prediction, and prognostic assessment of cardiovascular diseases including but not limited to heart failure, sudden cardiac death, cardiomyopathies, valvular disease, arrhythmias. His research has been funded from several organizations including NCI, NHLBI, and Michael J Fox Foundation. He has authored over hundred peer reviewed research papers and two book chapters.