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70m votes for Biden so far—the most of any presidential candidate in US history.

I'm relieved at the election outcome and grateful to so many that made it possible. Thank you to every election worker helping run a fair process. To the media that defended the truth. And to each of you that voted or spoke up for participating in this wonderful democracy. 🇺🇸

Extremely happy to see our work at #AHA21. Such a privilege to work with Gabe Pajares Hurtado Jordan Strom, MD, MSc, FACC, FASE and to have Aarti Asnani as a mentor.

Second day at #ACC22. Looking forward to keep learning from outstanding science!

Hey #MedTwitter! My name is Nathalie, proud Colombian and research fellow in Cardio-Oncology at BIDMC. I am applying to #InternalMedicine this #Match2023. I look forward to an exciting application season and getting to know other fellow applicants!

Hey Bojan Tunguz Mark Tenenholtz how do you handle xgboost extrapolation for time series forecasting?

Beyond ecstatic to join BIDMC IM Residency for residency! Thanks to my family 🇨🇴, friends and mentors who supported me throughout this journey! #Match2023 #InternalMedicine

Most protein function predictors only make predictions for labels seen in training. We used LLM embeddings of text describing protein function to train ProtNote, which can generalize to new functional labels described in free text. Code is available for everybody to try!

Led by the amazing @samir_char along with Nathaniel Corley, Sarah Alamdari, and Ava Amini Code: github.com/microsoft/prot… Preprint: biorxiv.org/content/10.110…

excited to share & release ProtNote! 🧬📰 ProtNote enables protein-function annotation on new, unseen functions by fusing LLM embeddings of text descriptions w/ protein sequence embeddings 📎biorxiv.org/content/10.110… 🖥️ github.com/microsoft/prot… led by the incredible Samir Char

We made sequences generated by EvoDiff in the lab! - Unconditional generations express, fold, and exhibit expected secondary structure elements - We inpaint functional intrinsically-disordered regions and scaffold binders

wet-lab validation of proteins designed by EvoDiff! - generated proteins express and are structured - inpainted, disordered mitochondrial targeting signals function in yeast - sequence-space motif scaffolding designs functional binders to Ca2+, MDM2 biorxiv.org/content/10.110…

Microsoft Research's Sarah Alamdari was speaking at Applied Machine Learning Days in Lausanne today. Good timing to showcase how their team was using our lab to validate their new protein design model, EvoDiff 💡🧬 More details below!

The final version of our work on enabling protein-function annotation on new, unseen functions with ProtNote is now published, with code and models available! 📰 doi.org/10.1093/bioinf… 💻 github.com/microsoft/prot… with Samir Char, Nate Corley, Sarah Alamdari, Kevin K. Yang 楊凱筌