We are excited to release MedPerf platform, an open-source federated evaluation framework for AI model #benchmarking that promises to deliver new levels of clinical efficiency, prioritize patient privacy & mitigating legal and regulatory risks. https://t.co/WWUj1pSBZP
Our new study shows association between the immune system and post-surgical activity from a wearable device: https://t.co/IPfUl2YivX
Stanford coverage: https://t.co/poqRQT7tuo
Long-term collaboration with @GaudilliereLab and @UTwitwithwit. Hard work by @ramin_fll and @F_Verdonk
If you have exciting datasets, benchmarks, or ideas to share, submit your work by August 27th (with abstracts due by August 20th)! 🙂 https://t.co/5xlGLtR7Zh
Excited to announce the accepted papers of the first round of the #NeurIPS Datasets and Benchmark Track. The second round is now open, deadline August 27th. #NeurIPSData https://t.co/v4D78YHXHs
Today is exciting because we got our first paper as a lab accepted! Congratulations to Haidong for an accepted paper to the AI for Public Health Workshop at ICLR. Paper coming soon 😉 we also used flowcap benchmark datasets. (flowcap is from our academic lineage) 😄