VacSIM - the first reinforcement learning based vaccine allocation framework, launched in September 2020 is now accepted for publication in Intelligence-Based Medicine. Congratulations to the wonderful team. Gratitude to @driiv_delhi for the support.
https://t.co/5fjRJGlwL0
Imagine having conversations🗣️ with ML models like you would with a colleague💡
In our paper "Rethinking Explainability as a Dialogue: A Practitioner's Perspective" with @hima_lakkaraju@sameer_ Yuxin Chen and @ChenhaoTan, we evaluate this possibility!🧵
Our Pandemic Preparedness AI Suite is live. Agile #PublicHealth insights with #OpenData & #AI. 🙏 Amazing students & collaborators for hard work; 🙏 @driiv_delhi and CoE Healthcare, @IIITDelhi for supporting our efforts!
https://t.co/HajsV1DceT
https://t.co/iSlLPBNVfe
A student who's starting grad school asked me which topics in my field are under-explored. An important question! But not all researchers in a community will agree on the answers. If they did, those topics won't stay under-explored for long. So how to pick problems? [Thread]
Happy International Women's Day to all the amazing change makers around us!
Coming back with a one week online bootcamp for engineering college girls from March 29th to April 3rd!
Register here:https://t.co/O3g42J3AFo
Spread the word in your network to all who would benefit!
Just one week till the start of MIT's @edXOnline course on Machine Learning for Healthcare - open to the whole world and free to audit! https://t.co/hJEn7qlbGh
How did thromboembolism emerge as a dominant theme in COVID-19 over the months? What can we predict for the upcoming months? Thrilled to share our new work-
EvidenceFlow Dashboard: https://t.co/J7gkjGjDc1
Preprint: https://t.co/KHNy2OalpP
@EricTopol@atulbutte@kvijayraghavan
@GulianiKaur A huge +1 to this, imagine the expansion this brings to tech world. From my point of view, tech industry can benefit more from this by making better, targeted solutions.
Interesting. One of the papers I'm area chairing for ICLR was significantly improved during the discussion phase so that all reviewers increased their scores (sometimes substantially). I recommended acceptance but after the calibration phase the PC asked me to reject the paper.
Excited to speak at the MIT’s Vaccines for All Conference. #VacSim work in the spotlight session and about designing strategies for equitable vaccine distribution in the panel discussion. Do attend the event by registering at https://t.co/vYQNGrBR77
https://t.co/5fjRJGCzN0