To enact long-lasting change in the biomedical AI/ML research community, the SWD Core of NIH BRIDGE CENTER at UCLA aims to foster the growth of next-generation multidisciplinary physicians and investigators, the driving force enabling Bridge2AI. To create an ethical equitable society and positively impact individual lives, the AI/ML healthcare field
The Bridge Center Educational Primer will present the rudimentary concepts surrounding use of AI/ML in biomedical research and clinical care. The SWD Core has developed the following lectures in collaboration with the Teaming Core, the Standards Core, and the Tools Optimization Core.
The Data Generation Project (DGP) Collaboration Module provides resources for data users to learn about the DGP-generated datasets relevant standards and analysis tools, and potential research opportunities/challenges within the Bridge2AI Consortium. The first tier of lectures will describe the clinical context for the DGP data collection, characterize the features of
The Fundamental Concepts to AI/ML Module systematically covers foundational concepts and state of the art technologies supporting AI and ML. The 10 lectures collected in the 2022-23 series, include basic elements of AI/ML, common practices in biomedical data science, and advanced AI/ML models and applications. Lectures 1 and 2 establish
The lead module of BRIDGE2AI-Training is the Ethically Sourced & Trustworthy AI (ETAI) Module. As AI/ML comes to the forefront of biomedical and behavioral research and healthcare, it is imperative that our next generation of scientists be equipped with an understanding of how the data and methods shape new insights