MIT News features J-Clinic’s Inaugural AIDM Conference and reflects on its success to create a dialog between machine learning researchers and the life science community, uniting their efforts in bringing AI into drug discovery.
Read the article here: https://t.co/WfqzwTUbUr
The Ted Talk "The Next Outbreak? We're not ready" given by Bill Gates in 2015, is suddenly quite relevant and eerily prophetic.
https://t.co/HVNDAyuxka
All J-Clinic events, including all upcoming seminars and talks, will be postponed until the fall due to the recent decision made by MIT in response to Covid-19: https://t.co/pKfrwLQqwM
J-Clinic will continue to update the community and be active virtually.
We are excited to announce the @Novartis Best AIDM Poster Award. The winner is the poster "A Deep Learning Approach to Antibiotic Discovery” by. @ItsJonStokes, Kevin Yang, Kyle Swanson, @WengongJin, @A_CubillosRuiz, Nina M. Donghia, @craig_macnair, et al.
We are excited to announce the @JanssenUS Best AIDM Poster Award. The winner is the poster "Synthetic Planning and Library Optimization for Automated Cross Coupling Synthesis Platforms” by. Nathan Russell, Andrea Palazzolo, Claire Simmons, Martin Burke, @peng_illinois
We are excited to announce the @sanofi Best AIDM Poster Award. The winner is the poster "Antibody’s Developability Prediction with Machine Learning and a High Quality Data Set” by. Lei Jia, Yax Sun, Alex Jacobitz, Vladimir Razinkov, Marissa Mock, Nic Angell, et al.
We are excited to announce the @novonordisk Best AIDM Poster Award. The winner is the poster "Predicting the Impact of Somatic Mutations Using Cell Painting” by. Juan Caicedo, @snhantau, @aliceb_phd, Angela Brooks, @boehmjesse, @DrAnneCarpenter
We are excited to announce the @Amgen Best AIDM Poster Award. The winner is the poster "Analyzing Learned Molecular Representations for Property Prediction” by. Kevin Yang, Kyle Swanson, @WengongJin, et al.
Picture ft. Dr. Patrick Swann, Vice President at Amgen and Kyle Swanson
As always, great progress on attacking the molecular sampling problem with deep learning from Frank Noe. Will techniques to accelerate molecular kinetics, Boltzmann generators and stochastic normalizing flows, change the game? @FrankNoeBerlin#MITAIDMConference
At the @MIT_AIDMConf today - lots of interest in computer-assisted chemistry - Center director Olaf Wiest is here representing @NSF_CCAS - come say hello!
Here are some photos from last Thursday during our panel on "What Machine Learning Can and Cannot do for Drug Discovery?" Thank you to everyone who attended!
ft. @wpwalters, @ItsJonStokes, @JonahCallinBack, @BarzilayRegina, & Tommi Jaakkola
We are delighted to announce the MIT AIDM 2020 Best Student Poster Awards.
Technical committees from our sponsors -- Novartis, Amgen, Sanofi, Janssen and Novo Nordisk will select the top posters from all the submissions. We will announce the winners during the closing ceremony.
J-Clinic is hosting a panel on "What Machine Learning Can and Cannot do for Drug Discovery?" Experts will explore the state-of-the-art in this field, and identify new ML directions relevant to drug discovery.
Register here while tickets last: https://t.co/zjTHLJYk7r
The MIT AIDM Conference has reached capacity and our registration is closed. We are sorry we couldn't accommodate all those who signed up to the waiting list.
Please sign up here to be informed about future events: https://t.co/J1ktSc2Ojq
The MIT AIDM Conference supports the "no manel" pledge. We are proud that our panels feature diverse representation from a variety of backgrounds.
Read more here: https://t.co/GR5LEDpTNu