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Official student-run account of the Yale Computational Biology & Biomedical Informatics (CBB) Program.
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https://cbb.yale.edu/ 15-05-2020 16:55:29
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Introducing BrainLM 🧠🤖the first foundation model for #fMRI analysis trained on 6,700 hours of brain activity data! Fine-tune for specialized tasks or leverage zero-shot inference capabilities! Wu Tsai Institute | Yale University Yale Computer Science Yale CBB Yale School of Medicine biorxiv.org/content/10.110…



Posting my keynote tomorrow at the Yale School of Medicine Single-Cell Symposium, featuring lots of work by Yale CBB students lectures.gersteinlab.org/summary/Large-… Large-scale analysis of Brain Single-Cell Data Yale Center for Biomedical Data Science (CBDS)



New day, new pre-print! And this has a rather exciting title "When to Trust Epigenetic Clocks: Avoiding False Positives in Aging Interventions" This research was led by my amazing colleague Daniel Borrus at the Albert Higgins-Chen lab at Yale School of Medicine and Yale CBB, and I feel excited to



3rd annual Yuval Kluger vs. Steven Kleinstein 🖥 Lab Pumpkin Carving Contest. We had a lot of fun (each lab carved two pumpkins), and now we need you to be the judge! Vote for your favorite at: docs.google.com/forms/d/e/1FAI… Yale CBB Yale Pathology Yale School of Medicine


🎉 Thrilled to share that I won the Best Speaker and Best Poster awards at the Biomarkers of Aging Consortium meeting at Harvard Medical School ! 🏆✨ My presentation and poster focused on TranslAGE — a groundbreaking framework for translating aging biomarkers to clinical use by testing if they are:


Study from Yale School of Public Health & Yale School of Medicine in Science Magazine on “Single-Cell Transcriptomic & Proteomic Analysis of Parkinson’s Disease Brains.” Authors include Pallavi Gopal, MD, PhD, Assoc. Prof. of #Pathology. Yale CBB Yale Neurology Yale Neuroscience Yale MB&B Yale Department of Immunobiology bit.ly/3YQR8RP



Thrilled to be speaking at Yale School of Medicine on "Using AI to Translate Geroscience to the Clinic"! This talk is part of the YBDIC outreach initiative, affiliated with the @YaleMedDEI. This is an incredible opportunity for young scientists to explore how cutting-edge computational tools


Raghav Sehgal (Raghav "RV" Sehgal ) is a 5th year PhD candidate in the Computational Biology and Biomedical Informatics (CBB) program. His thesis focuses on using AI to address the question: "Can we slow, stop, or reverse human aging?" under the mentorship of Dr. Albert Higgins-Chen. His


On a personal note, this recognition reflects over a decade of work, beginning at IIIT Delhi , continuing through Elucidata , and culminating at Yale School of Medicine Yale CBB Yale School of Medicine



Also thanks to Yunyang, SusannaXLiu, Y Gao, X Xin, S Lou, Matthew Jensen, D Garrido, T Verplaetse, Garrett Ash, PhD, JingZhang, Matt Girgenti, W Roberts Yale CBB, Yale MB&B, Yale Biomedical Informatics & Data Science, Yale Psychiatry, Yale Computer Science, Gerstein Lab | Yale, Yale Center for Biomedical Data Science (CBDS), UC Irvine, Universitat de Barcelona & National Institute of Mental Health (NIMH)


By identifiability, SIMVI uniquely enables inference of “spatial effects” at a single-cell level, empowering biological discoveries. Please refer to our manuscript (and the 44-page SI) for more details and applications. Many thanks for the support Yale CBB Rong Fan Kluger Laboratory!

What if LLMs could “read” & “write” biology? 🤔 Introducing C2S‑Scale—a Yale University + Google AI Google DeepMind collab: we scaled LLMs (up to 27 B!) to analyze & generate single‑cell insights by turning transcriptomes into text 🧬➡️📝 🔗 Blog: research.google/blog/teaching-… 🔗 Preprint:

