Starting as a new faculty member of #AI in #medicine at Cedars-Sinai today - as the Chinese saying goes, "read a thousand books, travel a thousand miles". Great time traveling #roadtrip from NYC to LA w/ my #gsd FeiFei. Now, what'd be my 1st book as a new #PI?

We have an open search for a collaborative biostatistician to join our faculty at Cedars-Sinai! Please RT! jobs.amstat.org/jobs/17507972/… #biostatistics #statstwitter #epitwitter #datascience

did this once with Evan Cofer and was fun.. look forward to give it another try in my group!

↘️First preprint from my lab! We introduce a new #GNN method that capitalizes on complementary information in *multiple* PPI networks for #cancer gene prediction. SOTA performance+ #XAI for bio insights. Fantastic work done by Michail Chatzianastasis. Feedback welcome!

Jason H. Moore, PhD Solid opportunity to grow your own independent program in an academic health center with a large clinical data warehouse and cross-disciplinary connections in the Cedars-Sinai Division of AI in Medicine programmatically aligned with Dept of Computational Biomedicine. Join us!

Excellent opportunity, collegial and supportive academic environment - come work with us!

As a physician, I don't want my assessments and plans to be used to train models for billion dollar private companies. Epic has a track record of being a closed sandbox hostile to 3rd party, not flexible to individual institution needs, and monopolistic practices.

Multiple Openings for Ph.D. Students (Fall 2024)!!! - CS@Simon Fraser University [Vancouver, Canada] (Wuyang Chen) More details: lnkd.in/eYn-rb-5 - CS@UNC-Chapel Hill (Tianlong Chen) More details: lnkd.in/eycn_8jm

1/4 Just out. Our review paper on #ArtificialIntelligence in Ventricular Arrhythmias and #SuddenCardiacDeath. What knowledge gaps can #AI address? ⁦Lauri Holmström⁩ ⁦Frank Zijun Zhang⁩ ⁦David Ouyang, MD⁩ ⁦Damini Dey⁩ ⁦Piotr Slomka PhD⁩ aerjournal.com/articles/artif…

Neural architecture search + mechanistic kinetic models + transfer learning for predicting enzyme reaction kinetics. Frank Zijun Zhang Adam R. Lamson @michael80429772 Olga Troyanskaya arxiv.org/abs/2305.11917

We are recruiting postdocs. Please RT uva.wd1.myworkdayjobs.com/UVAJobs/job/Ch…

Our paper "Explainable Multilayer Graph Neural Network for Cancer Gene Prediction" with Frank Zijun Zhang and M. Vazirgiannis has been accepted at Bioinformatics! We propose a new GNN explainable framework to predict cancer genes from multiple PPI networks!

📢 Frank Zijun Zhang, Michael Shelley, Olga Troyanskaya and colleagues from @FlatironCCB present a framework that combines kinetic models, neural architecture search, and transfer learning to discover CRISPR/Cas9 cleavage kinetics. nature.com/articles/s4358… 👉rdcu.be/dtByC

Unleash the power of #DNA foundation models with #NLP #LLMs - check out our new method LINGO! We steer the NLP linguistic knowledge for #genome understanding, with just genomic-specific adapters & no pretraining! feedback welcome :) arxiv.org/abs/2402.08075

Happy to announce our Health AI PhD program at Cedars-Sinai Academic Medicine! Thanks to Jason H. Moore, PhD, Nicholas Tatonetti and the faculty in our Department of Computational Biomedicine embracing Active Learning, we offer a unique project-based educational experience. tiny.cc/vyikxz

Exciting times for Health AI. Apply this fall and come work with us!

Our disease-specific language model for variant pathogenicity in cardiac & regulatory genomics paper in out! nature.com/articles/s4225… #genomics #genetics #cardiology #llms #artificialintelligence #bioinformatics

Excited to share our latest publication on #LLMs for Clinical Variant Interpretation in Nature Machine Intelligence: nature.com/articles/s4225…; Preprint: arxiv.org/abs/2406.00164 DYNA is a versatile tool that bridges #LLM driven #AI with clinical advancements!

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