🥂Thrilled to showcase our #ICML2023 work on "Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series" with Aniruddh Raghu! SMD-SSL is a pre-training objective for complex multimodal time series in healthcare. Come by poster 727 at 1:30 today to discuss!

Excited to share our nature paper on the role of AI in scientific discovery 🌟🔬 #AI4Science AI is transforming discovery across sciences 🤖🔍 From hypothesis generation to data interpretation, it is reshaping all stages of research in ways we could not imagine using

🧪🧬🪐 Excited to share our perspective on how AI will transform science in the next decade! What a wonderful experience to collaborate with so many incredible co-authors across the globe 🥂

Most self-supervised learning (SSL) methods for clinical time series data only use one data type e.g. vital signs or ECGs. Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag & #JClinic PI Collin Stultz propose a new SSL method for multimodal data 🐙 proceedings.mlr.press/v202/raghu23a.…

Starting my internship today at Apple Health AI in New York! Will be working on self supervised learning for time series.

This year at #ML4H2024, I’m helping in bringing a new Perspectives Track! 🧠✨ We’re excited to feature insights from pioneers in the field. Our themes this year are: 🤖 Foundation Models 🚀 Deployment Who do you want to hear from? Share your suggestions!💡💯

So grateful to have a wonderful mentor and advisor in Isaac Kohane and so excited to share this work with DBMI at Harvard Med community! 🙏🏼

📢 Super excited to share our new study Nature Medicine on developing and validating an explainable graph-based foundation model for drug repurposing, designed specially for rare diseases, which collectively affect 300 million patients globally! 🧵1/10

Kudos to Forbes for sharing our work on TxGNN so broadly!

We're in a polar vortex now, but brighter days will come to Boston... along with the 21st year of our Summer Institute in Biomedical Informatics #SIBMI for US-based undergrad quants! Applications close January 31. bit.ly/sibmi #summerinternship

So excited about OnSIDES! This resource is desperately needed…

Excellent, entertaining and educational Year in Review for Clinical AI NEJM AI ai.nejm.org/doi/full/10.10… Kudos Pierre Elias, MD Emily Alsentzer