What does data tell us about policies used to combat the global COVID-19 spread? To understand the role of quarantine in halting infection spread, MIT researchers are combining ML with traditional epidemiological models.
Read more: https://t.co/NAhKPyXv1W
#COVID19#SARSCoV2#AI
Severely ill patients with COVID-19 can succumb to bacterial pneumonia as a secondary infection.
We are announcing an open task for predicting activity against the bacteria Pseudomonas aeruginosa, which causes nasty lung infections.
Learn more here: https://t.co/CtbAlb5drr
Accepted to #ICLR2020. Congratulations to Regina, @CodeTerminator, @menghua_wu and myself! Thank the reviewers and AC for their valuable suggestions and comments. Our code and data are already available on GitHub. Camera-ready will be coming soon.
https://t.co/LctiOdw3nH
The deadline for abstract submission is December 6th, 2019. Researchers and practitioners at all career stages are invited to share their recent and ongoing research in the intersection of AI and drug discovery.
For more detailed information, visit: https://t.co/UnNmjIKwyz
We are excited to highlight @cwcoley, Chemical Engineering at MIT, as a featured speaker at the MIT AIDM Conference 🗣
His two-part paper on "Autonomous Discovery" encompasses discoveries accelerated by advances in hardware/computational algorithms. https://t.co/Nx17IQIqup
Our conference attendees come from over +40 organizations. See the attendee snapshot below.
Register today (early bird rate ends October 31st) at https://t.co/1hh9u0Vibv.
The topic of our conference is closely related to @cenmag's recent Discovery Report "Artificial Intelligence in Drug Discovery: Hope or Hype?" https://t.co/NH57IbdEaX.
We aim to assess the current biotech landscape and identify technologies needed to move this field forward.
Check-out our new paper - https://t.co/9xm6YGei1F
Automatic Fact-guided sentence modification.
Method to automatically modify the factual information in a sentence.
Joint work with @str_t5 , Prof. Regina Barzilay.