🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Excited to share TxGNN, a model that identifies potential therapies from existing medicines for thousands of diseases. Trained across 17,080 diseases, TxGNN predicts drug candidates for conditions with limited or no treatment options, including rare diseases Nature Medicine

🧠🧬 Our "AI-derived AD R1 & R2 dimension" paper found a home at TranslationalPsychiatry! Thank all co-authors from the iSTAGING consortium Christos Davatzikos Zhijian Yang Title: "Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum" OA

Happy to share one of my very favorites of our new papers: nature.com/articles/s4139… Early presence of Alzheimer's MRI patterns relate to cardiovascular, immune, and neurondocrine systems, subsequent progression relates to APOE4, tau, amyloid Led by Junhao (Hao) Wen

⭐️Another great example of how our deep learning method helps explore the heterogeneity of diseases! openreview.net/pdf?id=nf3A0WZ…

New research out in Nature Medicine elucidates brain aging patterns in a large & diverse cohort of 49,482 individuals ft. Zhijian Yang (AI2D) & Christos Davatzikos (Penn Radiology) tinyurl.com/mr2cz8ss

🧬GWAS is fundamental in drug discovery, linking disease to genetic variants. However, studying rare and uncommon diseases with GWAS is hard due to the huge sample sizes required. How can we use AI to help GWAS with small cohorts? In a multi-year collaboration GSK

New insights for brain aging via spatial clocks and #AI: rare, neighboring cells can have big impact (T cells for promoting inflammation + aging; neural stem cells for slowing aging) nature.com/articles/s4158… James Zou Brunet Lab Eric Sun nature

Please consider helping us by providing feedback for our NiChart standalone and cloud-based software in the two very short surveys at neuroimagingchart.com. What do you like /would you like to see? This will also help us meet the requirements of our Brain Initiative program.

‼️PhD Position now available in my lab‼️ Do you like: * Neurodegenerative disease? * Neuroimaging and/or multi-omics? * AI and data-driven life science? Want to work with RikOssenkoppele Alexandra Young and Laura Wisse? Apply here: lu.varbi.com/what:job/jobID… Please rt/share 🙏

🎉 I’m pleased to share that our paper: "Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories"  has been accepted to ICLR 2025! 📍 I’ll be presenting this work next week at ICLR 2025 in Singapore 🇸🇬 #ICLR2025

🔊🔊🔊Candidates at the Columbia PhD program Columbia BME, if you are still looking for a match to work on multi-organ, multi-omics AI/ML and bioinformatics, my lab LABS has secured funding to support your PhD! Please help spread the word within your network!

Excited to share our new Nature Communications paper led by Jingxuan Bao (UPenn GCB): “A genetically informed brain atlas for enhancing brain imaging genomics‘’ Read it here: nature.com/articles/s4146…. Qi Long Dept. of Biostatistics, Epidemiology & Informatics Penn IBI AI2D Penn LDI PennAITech Institute on Aging

Trained as a computer scientist and bioengineer, I am over the moon to publish our paper (Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders) at @NatureBME: nature.com/articles/s4155….

Very happy to be at #CVPR2025 until June 15! Looking forward to connecting and chatting about health AI! 👋

Introducing Muscle v0 -- infinite degrees of freedom, from Daxo Robotics. A different mountain to climb - with a far more beautiful peak. We built this from the ground up: - Ultra-dexterous - Built for machine learning - Durable and robust More below (1/n)

Very fun working on this! Modeling unseen perturbations is a challenging problem, and it was exciting to see how integrating prior biological knowledge can make it possible🐾

Check out our new preprint!🐣