2024 Boston University Biomedical Innovation Technologies Affinity Research Collaboratives (BIT-ARC) Research Symposium
Translating AI-related medical image research from “concept” to “implementation” for disease diagnosis and treatment
Thursday, November, 7, 2024
1:00 – 5:00 pm
Boston University Medical Campus, EBRC (X) building
Room 714/715
650 Albany Street, Boston, MA 02118
This BIT-ARC Symposium is co-sponsored by Boston University (BU) Evans Center for Interdisciplinary Biomedical Research (via the Department of Medicine), BU Interdisciplinary Biomedical Research Office (IBRO), BU/BMC Ophthalmology Department, BU Clinical & Translational Science Institute (CTSI), and BU Office of Technology Development (via the office of BU Associate Provost for Research).
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Meeting ID: 962 0124 0971 | Passcode: 435674
Agenda:
1:00 – 1:05 pm: Welcome Opening Remarks
Katya Ravid, PhD, DSc (Founding Director of Evans Center and IBRO, Barbara E. Corkey Professor of Medicine, Professor of Biochemistry, Biology, Health Sciences, Boston University)
1:05 – 1:30 pm: Introducing BIT-ARC and the Genetic Link Connecting the Kidney, Heart, Brain, and Eye
Weining Lu, MD, MS (Lead Director of the BIT-ARC project, Associate Professor of Medicine and Pathology, Nephrology Section, Department of Medicine, Boston University, Boston Medical Center)
1:30– 2:10 pm: Invited Guest Lecture
Translating Artificial Intelligence-related Retinal Image Research from “Concept” to “Implementation” for Timely Disease Management and Treatment
Carol Y. Cheung, PhD, MPhil (Associate Professor, Depar
tment of Ophthalmology)
– Introduced by Manju Subramanian MD, Associate Professor and Vice-Chair of Ophthalmology at Boston University and Boston Medical Center.
2:10 – 2:30 pm: A Generalizable Federated Foundation Model for the Detection of Eye and Systemic Diseases from Ultrawide-field Images: A Real-world Multicenter Analysis
Gabriel D. Yang, PhD, MMed (Postdoctoral Fellow, Department of Ophthalmology)
– Introduced by Manju Subramanian MD, Associate Professor and Vice-Chair of Ophthalmology at Boston University and Boston Medical Center.
2:30 – 2:50 pm: Development and Application of a Machine Learning Model to Quantify Eye Movements in Cardiac Arrest
Charlene J. Ong, MD, MPHS (Assistant Professor of Neurology and Neurosurgery, Department of Neurology, Boston University, Boston Medical Center)
2:50 – 3:00 pm: Break (coffee/tea/refreshments) brief
3:00 – 3:20 pm: Kidney Precision Medicine Project (KPMP): Translating BIT-ARC Digital Pathology Tool from Research to Clinical Diagnosis
Joel M. Henderson, MD, PhD (Co-Director of the BIT-ARC project, Associate Professor of Pathology, Department of Pathology and Laboratory Medicine, Boston University, Boston Medical Center)
3:20 – 3:40 pm: Deep Learning-Based Method for Kidney Transmission Electron Microscopy Image Analysis
Anqi Zou, PhD (Postdoctoral Fellow, Dr. Chao Zhang’s Lab, Data Science Core, Computational Biomedicine Section, Department of Medicine, Boston University Medical Campus)
3:40 – 4:00 pm: Developing the BIT-ARC Front-end Web User Interface for Kidney Ultrastructure Imaging Biomarker Analysis: From “Concept” to “Implementation”
William J. Tomlinson, PhD (Co-Director of the BIT-ARC project, Director of Software & Application Innovation Lab (SAIL),
4:00 – 4:20 pm: AI-based Differential Diagnosis of Dementia Etiologies on Multimodal Data
Vijaya B. Kolachalama, PhD (Co-Director of the BIT-ARC project, Associate Professor of Medicine and Computer Science, Computational Biomedicine Section, Department of Medicine, Boston University Medical Campus)
4:20 – 5:00 pm: Invited Guest Lecture
Digital Pathology Meets Spatial Omics: Emerging Problems in Data Integration, Solutions, and New Opportunities
Pinaki Sarder, PhD (Associate Professor (Tenured) of Quantitative Health, Department of Medicine, Affiliate Associate Professor, Electrical & Computer Engineering, Biomedical Engineering, and Health Outcomes and Biomedical Informatics, Associate Director for Imaging, Intelligent Critical Care Center, University of Florida at Gainesville)
5:00 – 6:00 pm: Food/drink and Social Networking
