🚨Announcing the next Harvard #efficientml seminar on Learning to learn, featuring Jane Wang and
Rising Star Julian Coda-Forno ! 🧠

➡️ April 22, 2:30 ET

📅Registration: tinyurl.com/yyzt9c96
🔗 Website: efficientml.org

Harvard Data Science Initiative DBMI at Harvard Med Kempner Institute at Harvard University

Angelica Parente, PhD Seyone Chithrananda Bharath Ramsundar ASAP Discovery Jenke NCATS The Therapeutic Data Commons (@ProjectTDC) is still very much a work in progress, but it's worth checking out their leaderboard for the limited BBB datasets they have!

tdcommons.ai/benchmark/adme…

In the latest blog on Portal, Guadalupe Gonzalez helps you imagine a world where finding a disease treatment isn’t about endlessly searching through drug candidates but finding the perfect molecule to reverse a disease.

Learn more about PDGrapher:
portal.valencelabs.com/blogs/post/pdg…

🥳🥳🥳 We are excited to share that AI for Science workshop will be held again with ICML Conference 2024, Vienna! This time, we focus on scaling in AI for Science (as a new dimension to theory, methodology and discovery)! Tentative schedules can be found: ai4sciencecommunity.github.io/icml24.html

Join us today for the next part in our Advancing Drug Discovery: A Webinar Series of the National Academies of Sciences, Engineering and Medicine focusing on #AI .

Today's webinar will feature Dr. Marinka Zitnik from - register now to join us or receive the recording.

🚨Announcing the next Harvard #efficientml eminar on Machine Unlearning, featuring Nicolas Papernot and Rising Star Anvith Thudi! 🧠

➡️ March 25 @ 2:30pm ET

📅 Registration: tinyurl.com/5n8kke2a
🔗 Website: efficientml.org

Harvard Data Science Initiative DBMI at Harvard Med Kempner Institute at Harvard University

Meet PocketGen 👇

We are building the next generation of the Commons!

Thrilled to be an inaugural recipient of the Transformative Computational Biology Grant from Biswas Family Foundation

🚨 Excited to announce our new Harvard University seminar series on Efficient ML! Please join LLM superstars Sara Hooker (@cohere) & Valentina Pyatkin (@allen_ai) for our kick-off meeting next Monday!

Open to everyone! 📅

🔗 tinyurl.com/z838amfr
Harvard Data Science Initiative Harvard Medical School Kempner Institute at Harvard University

We built CZ #CellxGene Discover to address the need for standardized, interoperable + openly available #SingleCell matrices. Researchers can ...

🔎 Find
💾 Download
💻 Explore
📈 Analyze
📝 Publish

... standardized single-cell datasets. Learn more ⤵️ bit.ly/40kFX2W

Fantastic summer research opportunity DBMI at Harvard Med for undergrads interested in AI and Medicine

Apply dbmi.hms.harvard.edu/education/sibmi Therapeutics Data Commons AI for Science ML4H

Phenomenal resource with ready-to-use embeddings and models through CZI Science Cell Census 🚀

Congrats to Jonah Cool Pablo García-Nieto, Ph.D. and the #CELLxGENE team 👏

Thanks for showcasing PINNACLE, our contextual AI model for single-cell protein biology, and scCIPHER, our multimodal AI…

1/🧵Introducing Perturb-seq-in-the-loop: a sequential experimental design strategy for perturbation screens guided by multimodal priors, with 3X speedup over state-of-the-art active learning methods!

With amazing Romain Lopez Jan-Christian Huetter Taka Kudo Antonio Rios Aviv Regev

📢📢📢 Join us in building the next generation of Therapeutics Data Commons! We are hiring at several levels!

Our vision is to lay the foundations for AI & therapeutics, eventually enabling AI to learn and acquire knowledge on its own 👇

Excited to speak at AASLD about how AI can help identify therapeutic targets and find cell type contexts relevant to treating liver diseases #LiverTwitter #TLM2023 AASLD Foundation

tdcommons.ai

Excited to deliver the next CCB Seminar at Harvard Medical School.

Looking forward to sharing our ongoing work in Marinka Zitnik's lab on multimodal deep learning for drug repurposing and precision medicine.

🗓️ Date: Monday, October 30th

🕒 Time: 3PM ET

📍Location: Countway Library or Zoom

So excited about our collaboration PenteluteLab building a new paradigm of thinking through the AI-driven design of molecules 💊🧪🩺🏥

Congratulations PenteluteLab! Thanks for the shoutout of Therapeutics Data Commons

Nature review: Scientific discovery in the age of artificial intelligence go.nature.com/45fUazH

📢📢 New release Therapeutics Data Commons - Clinical drug development 💊🏥

New tasks & datasets with 17,000 clinical trials that include validated trial outcomes and other data, including disease and drug information, and trial eligibility criteria

Thanks 符天凡

tdcommons.ai/multi_pred_tas…