Congratulations to Profs. Kevin Leach and James Weimer for their exceptional research in software security and medical devices, which has secured them the prestigious $2 million ARPA-H contract!
https://t.co/ERDvGhcx6E
James Weimer, assistant professor of computer science and noted medical-device entrepreneur, has received a @NSF CAREER Award to improve the safety and efficacy of systems that use advanced machine learning and artificial intelligence techniques. https://t.co/e3n40ezOpl
There are MANY unmet foundational scientific needs that can only be identified and effectively solved by getting outside the academic bubble and understanding real-world needs/constraints.
My NSF CAREER was awarded.
https://t.co/6zDqo5osFu
A big thanks to the NSF CPS program and all my collaborators (especially the students) and my colleagues in @VUEngineering , @Vanderbilt_CS , and @ViseVanderbilt.
At the risk of being provocative, the support from @VanderbiltU since joining in '22 to pursue "radical collaboration" and interdisciplinary research has been beyond comparison. I hope more early career PhDs find home intuitions (like @VanderbiltU) where tech transfer is valued.
@KarlZelik I also have an app for any watch running WearOS that does something similar. Both watches can be configured to work for about 24 hours with constant sensing (10-30Hz).
I used them for both my startups -- with clinicians seeing them up. Pretty bullet proof.
@jefielding I teach an Internet of Medical Things course in CS at Vanderbilt: covers engineering, clinical, and business aspects of IoMT (since you can't have impact in IoMT without all three working together) -- Do you have any modules related to Medical startups I could adapt (and cite)?
Want to be a CS researcher and also maximize the likelihood your work has real-world impact in medicine? Apply to join my phd research group at @Vanderbilt_CS -- We measure impact not only by "likes" (i.e., citations) on Google scholar, but more importantly by lives saved.
@KarlZelik On the IoMT side, a corollary is consumer health information (CHI): unregulated personal feedback that provides general health information (but not diagnosis). FWIW, the CHI space has the same issues -- and no amount of screaming about bad behavior has changed things (I tried).
VasowatchAI is released (https://t.co/czMy5BVT7E)!!! Model: predicts postpartum hemorrhage before delivery from maternal heart beats; 4x better than SOTA; and only 73 parameters because we spent 1.5 years studying physiology before model training. Next step: regulatory pre-sub!
Are you working in explainable ML/AI for hypothesis generation in life sciences? Ideally, you’re working within biotech, pharma, a startup, or a lab collaborating around life science discovery tasks. I have an ask for a NeurIPS talk but I’d love to invite others instead. Thanks!
@suchisaria I've noticed an uptick as well (but not 5-7 times a week!) I have capacity to take on more "discussion asks" in health AI. I have no agenda -- but believe a holistic approach is needed (starting from data generating devices, through training and beyond). Forward asks as desired.
@NikolaiMatni I think I know this answer, but I'll ask anyway. How would one use this result in practice? What's the limitations of the beta-mixing assumption?