Bridge2AI Scholar Program

The Bridge2AI Bridge Center Training Team in collaboration with the Bridge Center Teaming Science Team are committed to promoting enduring changes in biomedical AI/ML research by developing a diverse workforce of physicians and investigators through the programs offered by the Bridge2AI Consortium. The Bridge2AI Scholar Program is designed to develop

The Bridge Center Educational Primer will present the rudimentary concepts surrounding the use of AI/ML in biomedical research and clinical care. The Bridge2AI Center Training Team has developed the following lectures in collaboration with the Bridge2AI Teaming, the Standards, and the Tools Optimization Programs. Here is the collection of lectures

The BRIDGE2AI Special Topic Webinars cover a wide range of topics, adapting to viewer interest and to the rapidly evolving biomedical and AI/ML landscapes. These topics encompass emerging technologies, hot topics relevant to AI/ML, breaking news on government policies and relevant funding opportunities, as well as collaborative webinars with the

The NIH Bridge2AI Consortium is presently engaging with 4 unique AI/ML BioMed data generation efforts dubbed Grand Challenges. Precision Public Health Grand Challenge (Voice) Salutogenesis Grand Challenge (AI-READI) Clinical Care Grand Challenge (CHoRUS) Functional Genomics Grand Challenge (CM4AI) The Bridge2AI Training Working Group is a collaborative effort between the Bridge

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