“Green Button” technology, which can quickly answer clinical questions—such as which drug is most effective for certain cancer patients—was developed by the Nigam Shah lab and led to raising $33M to scale AI-powered real-world evidence.
EchoNet, developed by the Zou Lab, is advanced image post-processing analysis software designed to aid diagnostic review, analysis, and reporting of echocardiographic DICOM images for cardiac function, and was just approved by the FDA. Congrats, team!
The purpose of the NRSA Individual Predoctoral Fellowship (F31) award is to enhance the spectrum of the health-related research workforce by supporting the research training of predoctoral students.
Congratulations, Kristy!
A survey article on multimodal models for clinical biomedicine was published in the International Journal of Computer Vision for which DBDS adjunct faculty Dr. Tanveer Syeda-Mahmood is a co-author. Read it here: https://link.springer.com/article/10.1007/s11263-024-02032-8