Our Scholars
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Bridge2AI-Voice is funded by the NIH Common Fund to generate a large ethically sourced voice dataset to propel scientific discovery of voice biomarkers through the use of artificial intelligence. We are training future researchers, developers, and scientists to understand how to use our dataset and the ethical use of voice AI for improved diagnostic and screening tools. Search our directory below to find Bridge2AI-Voice scholars who have completed one of our educational programs and have gained specialized knowledge in the use of ethical voice AI in biomedicine.
Featured Scholar
Featured Scholar
Get to know this month’s featured scholar!
Dan Jang
“I Graduated Winter 2024 from Portland State University with Concurrent BA and BS degrees, both Cum Laude: Triple Major in Computer Science, Biomedical Physics, and General Science, with a Double Minor in Neuroscience and Mathematics. Devoted, passionate, and with a love for learning and for others. Pursuing MD-PhD programs. Also, I love listening to Mitski & Lana del Rey!”
B2AI-Voice Scholars
Research & Publications
Assessing and Mitigating Gender and Age Bias for Detection of Vocal Fold Paralysis in the Preliminary Bridge2AI-Voice DatasetPharr et al., 2024; USF AI+X Symposium
Advancing Stridor Detection: Enhancing Diagnostic Accuracy with Artificial Intelligence and Bridge2AI-VoiceDaoud et al., 2024; USF AI+X Symposium
Exploring Preprocessing Steps and Neural Networks for Stidor Detection and Classification Through Voice DataKapoor et al., 2024; USF AI+X SymposiumAre you a Bridge2AI-Voice scholar or mentor?
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