Very excited to present our work in NOLA exploring epigenomics in thoracic aortic aneurysms! Please consider passing by our moderated poster on Saturday @samf_7927 @hattaca @RolandAssiMD #DustinLieu #GeorgeTellides #ChungLab #AHA25 @YaleVBTProgram @YaleIMed @yalectsurgery

Ask not why would you work in biology, but rather: why wouldn't you? https://t.co/7zkdjniFQ9 openai/gemini gave this essay an A- for evocative imagery. claude gave it a C- for being emotionally manipulative. both are probably right. i feel a little sick re-reading it

Our lab at @YaleMed seeks #postdocs with in vivo expertise to pioneer research at the intersection of tissue remodeling & aging. Work with us to uncover immunological & vascular drivers of ovarian aging, applying single-cell, spatial omics, and ML!

A recent study, led by Catherine Gao, PhD (@CatGaoHow), explores how machine learning models like LSTM and XGBoost can analyze electronic health record data to forecast next-day extubation with high accuracy. The findings suggest machine learning could support, not replace,

Excited to share that we've received an @NIH R35 MIRA! This grant will support our work building tools to study how cell states change over space and time in disease. Grateful to our community, and especially the wonderful team I get to work with.

@alecpeltekian @CatGaoHow @NUFeinbergMed 🔭 Next steps are to explore how to integrate this model into clinical workflows and evaluate its impact prospectively. We’re also interested in expanding to other ICU populations and incorporating additional data streams like imaging and clinician notes!

@alecpeltekian @CatGaoHow @NUFeinbergMed In failed extubation cases, the model would’ve advised against extubation 35% of the time, showing promise as a second opinion tool 💡. Top predictors from SHAP and ablation testing include plateau pressure, heart rate, PaCO2, aligning with clinical intuition.

@alecpeltekian @CatGaoHow @NUFeinbergMed Our best model, an LSTM 🤖 , predicted next-day extubation with AUROC 0.87 in both our internal and external validation hospitals. It often flagged patients as ready for extubation days before it actually happened, suggesting potential to wean earlier.

@alecpeltekian @CatGaoHow @NUFeinbergMed We built ML models to predict ICU patients’ readiness for extubation, a decision that’s critical and time-sensitive. Too early = failure. Too late = complications.

@alecpeltekian @CatGaoHow @NUFeinbergMed We trained models on 37 clinical features (vitals, labs, meds, vent settings)🫁 collected from midnight–8 AM ⏰ , so predictions are ready for morning rounds. We carefully annotated data, reviewing hundreds of charts.

🚨 Our paper is out in Scientific Reports! Amazing collaboration with @alecpeltekian, @CatGaoHow, and Ankit Agrawal @NUFeinbergMed https://t.co/1HwmeAAzVc

Opportunistic A.I. interpretation of medical scans. The list keeps getting longer of improved detection, unrelated to why the scan was obtained Today; Aortic aneurysm from breast MRI https://t.co/WzwlymxtIK My running list👇

What if LLMs could “read” & “write” biology? 🤔 Introducing C2S‑Scale—a @Yale + @GoogleAI @GoogleDeepMind collab: we scaled LLMs (up to 27 B!) to analyze & generate single‑cell insights by turning transcriptomes into text 🧬➡️📝 🔗 Blog: https://t.co/6jGBDBhP4z 🔗 Preprint:

Regeneron CEO Len Schleifer on @CNBC: The biotech/pharma sector should be seen as the "health defense industry" vital for global wellbeing. To sustain innovation, it needs proper support. https://t.co/xJobDUExiv

A new gene-editing therapy may have cured a baby of a deadly metabolic disorder. By inserting a corrective gene into a 'safe harbor' of the genome, this approach aims to avoid the risks of traditional gene therapies.

This isn't science fiction. This is real sequencing biotechnology just introduced by Roche. Wild and wonderful.

Today, we are announcing a new pre-seed venture fund – Altitude Lab Fund – to support early-stage biotech startups facing the loss of SBIR grants due to recent federal funding policy shifts which have left many biotech founders in limbo. I wrote about why these funds are so

A very innovative approach to cancer: engineering fat cells to convert to beige fat to starve tumors, outcompeting 5 types of cancer in experimental models https://t.co/KZJPD6fvac @NatureBiotech @NadavAhituv @UCSFMedicine

This has promise to change surgery. We haven’t had a new class of painkillers for acute pain for decades. And 15,000 people died of prescription opioid overdoses in 2022. But will be interested in hearing from anyone with real world experience.

It’s crazy how talking with a science buddy is simultaneously what’s most likely to move the project forward and the thing that’s least prioritized in our schedule.