The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. A key step in this process is generating new “flagship” data sets and best practices for machine learning analysis. Machine learning is a type of Artificial Intelligence (AI) that provides machines (like computers) the ability to automatically learn and improve from experience, without being explicitly programmed. The biomedical research community generates a wealth of data, but most of these data are not suitable for machine learning because they are incomplete. By bringing technological and biomedical experts together with social scientists and humanists, the Bridge2AI program will help bring solutions to this deficit. (Retrieved from the NIH Common Fund site)
2025 Voice AI Symposium and Hackathon
The 2025 Bridge2AI – Voice Symposium and Hackathon is an interactive conference that brings together scientists, ethicists, advocates, patients, clinicians, technology experts and students, all with a shared passion for the transformative potential of voice biomarkers in healthcare.
Bridge2AI Fall 2024 Leadership Meeting
The meeating will be an opportunity for researchers and experts to engage in vibrant discussions. The theme of the Fall Leadership Meeting is: Cross Consortium Synergies. Representatives from all the Grand Challenges (GC) and the Bridge Center (BC) will present highlights of their research and facilitate discussions aligned with the theme of the meeting.
C2M2
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