Multimodal AI in Biomedical Data Analysis and Disease Diagnosis

Saturday, October 26, 2024

8:30 AM – 10:00 AM EST

Location: Room 303

Panelist(s)

Pingkun Yan, PhD

Associate Professor
Rensselaer Polytechnic Institute
Troy, New York, United States
Ruogu Fang, PhD (she/her/hers)

Associate Professor & J. Crayton Pruitt Family Term Fellow
University of Florida
Gainesville, Florida, United States
William Hsu, PhD

Professor of Radiological Sciences and Bioengineering
University of California Los Angeles
Los Angeles, California, United States
AC

Adam Charles

Session Title for Website and App: Multimodal AI in Biomedical Data Analysis and Disease Diagnosis

Special Session Program Description: Join us for an insightful series of lectures on the cutting-edge advancements in multimodal artificial intelligence (AI) within the realm of biomedical data analysis and disease diagnosis. This special session at BMES 2024 will delve into the integration of diverse data types, including imaging, genomics, clinical records, and wearable sensor data, to enhance the accuracy and efficiency of diagnostic processes. Leading experts will discuss the latest research, novel methodologies, and real-world applications, providing attendees with a comprehensive understanding of how multimodal AI is revolutionizing healthcare. Attendees will gain valuable insights into the challenges and future directions in this rapidly evolving field, fostering collaboration and innovation at the intersection of AI and biomedicine.

Committee, Sig, or Organization Title: Rensselaer Polytechnic Institute