Agenda
| Time | Speaker | |
|---|---|---|
| 10 a.m. | Mattia Prosperi, Ph.D., FAMIA, and Qing Lu, Ph.D. | Networking with coffee and UF Health Cancer Center AI Working Group leaders |
| 10:15 a.m. | Jonathan D. Licht, M.D., Thomas George, M.D., FACP, and Ji-Hyun Lee, DrPH | Welcome and opening remarks |
| 10:30-11:20 a.m. | Despina Kontos, Ph.D. | Keynote address: Radiomics, radiogenomics and AI: The emerging role of imaging biomarkers in precision cancer care |
| 11:20 a.m.-noon | Ruogu Fang, Ph.D. | AI approach for imaging data 101 |
| Noon-12:30 p.m. | Radiomics & Augmented Intelligence Laboratory (RAIL) | Trivia game with ChatGPT |
| 12:30-1:15 p.m. | –– | Lunch & networking |
| 1:15-1:40 p.m. | Andrew Janowczyk, Ph.D. | Computational pathology toward precision medicine |
| 1:40-2:05 p.m. | Carlos Rinaldi-Ramos, Ph.D. | Magnetic particle imaging (MPPI) |
| 2:10-2:35 p.m. | Dejana Braithwaite, Ph.D. | How accurate are AI chat bots at providing cancer screening advice? |
| 2:35-2:50 p.m. | Reza Forghani, M.D., Ph.D. | Impactful artificial intelligence tool development and adoption in radiology: Opportunities & challenges |
| 2:50-3 p.m. | Dejana Braithwaite, Ph.D. | Closing remarks |
Keynote speaker
Despina Kontos, Ph.D.
Matthew J. Wilson Professor of Research Radiology II; Associate Vice-Chair for Research, Department of Radiology, University of Pennsylvania
Despina Kontos, Ph.D., is the Matthew J. Wilson Professor of Research Radiology II and Associate Vice-Chair for Research at the Radiology Department of the University of Pennsylvania. Dr. Kontos received her C.Eng. Diploma in Computer Engineering and Informatics from the University of Patras in Greece and her M.Sc. and Ph.D. degrees in Computer Science from Temple University in Philadelphia. She completed her postdoctoral training in radiologic physics and biostatistics at the University of Pennsylvania and additional postgraduate training in cancer molecular biology and therapeutics from Harvard Medical School.
Dr. Kontos’ research interests lay in the interface of engineering, data science and medical imaging applications. Most of her research to date has focused on leveraging the role of machine learning and AI in investigating the role of imaging as a predictive biomarker for guiding precision cancer screening, prognosis and treatment, while integrating with other emerging multi-omic biomarkers, such as molecular profiling, liquid biopsy and the EHR. She has published more than 100 papers in this field, leading several research studies funded by the NIH/NCI and private foundations.
Speakers
Ji-Hyun Lee, DrPH
Professor, Department of Biostatistics; Director, Division of Quantitative Sciences
Mattia Prosperi, Ph.D., FAMIA
Professor and College Coordinator of Artificial Intelligence, Department of Epidemiology; Co-Chair, Cancer AI Working Group
Qing Lu, Ph.D.
Professor, Department of Biostatistics; Co-Chair, Cancer AI Working Group
Jonathan D. Licht, M.D.
Director, UF Health Cancer Center
Thomas George, M.D., FACP
Deputy Director, UF Health Cancer Center
Ruogu Fang, Ph.D.
Associate Professor & J. Crayton Pruitt Family Term Fellow
Department of Biomedical Engineering
Andrew Janowczyk, Ph.D.
Assistant Professor, Wallace H. Coulter Department of Biomedical Engineering
Georgia Institute of Technology;
Emory Winship Cancer Institute
Carlos Rinaldi-Ramos, Ph.D.
Dean’s Leadership Professor and Chair, Department of Chemical Engineering
Professor, J. Crayton Pruitt Family Department of Biomedical Engineering
Herbert Wertheim College of Engineering
University of Florida
Dejana Braithwaite, Ph.D.
Associate Director for Cancer Population Sciences, UF Health Cancer Center
Reza Forghani, M.D., Ph.D.
Professor Of Radiology & Artificial Intelligence (AI); Vice Chair Of AI
