Resolving the functions of novel primate retinal ganglion cell types: a multimodal approach
May 30, 2024 — 12:00 pm to 1:00 pm ET
Teresa Puthussery, O.D., Ph.D.
Assistant Professor of Optometry & Vision Science
University of California Berkeley
Hybrid event (in-person and online)
Using SMART on FHIR for Ophthalmic Research: A hands-on-keyboard workshop
May 30, 2024 — 1:00 pm to 3:30 pm ET
NEI is hosting a hands-on-keyboard workshop where attendees will learn how HL7 FHIR can be used to support ophthalmic research. Registration is open.
Anyone interested in using SMART on FHIR, clinical decision support applications, or ML/AI for ophthalmic health research would benefit from the workshop. Recommended pre-requisites: Java experience, although the workshop will begin with a demonstration that is accessible to all healthcare or informatics professionals.
Building AI Datasets for the Future of AI in Vision Research
May 20, 2024 — 2:30 pm to 3:30 pm ET
Join the National Eye Institute's Office of Data Science and Health Informatics (ODSHI) for their upcoming event, Building AI Datasets for the Future of AI in Vision Research. Part of the NIH Common Fund’s Bridge2AI program, Dr. Aaron Lee (University of Washington) will discuss his flagship project, AI-READI (Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights), a groundbreaking and ethically-sourced dataset enabling artificial intelligence/machine learning (AI/ML) research to uncover critical insights into type 2 diabetes mellitus (T2DM) and pathways to health. The event will offer opportunities for dialogue with Dr. Lee and ask for audience input on future topics of interest.
Understanding the regenerative powers of ocular pigment epithelium
May 16, 2024 — 4:00 pm to 5:00 pm ET
Katia Del Rio-Tsonis, Ph.D.
Professor, Department of Biology
Miami University, Ohio
Synaptic remodeling in the diseased retina
April 23, 2024 — 4:00 pm to 5:00 pm ET
Mrinalini Hoon, Ph.D.
Assistant Professor, Department of Ophthalmology and Visual Sciences
University of Wisconsin-Madison