🔥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

I stayed up until 4 AM on Monday morning and sold all my #NVIDIA stocks -- right at the beginning of the plunge. Hard to comment, but at least there’s no conflict of interest now. 🙂

DeepSeek's open AI model is giving scientists worldwide the opportunity to train custom reasoning models designed to solve problems in their disciplines. go.nature.com/42zO92D

When open-source—the spirit of Silicon Valley—continues in east Asia, tech giants are attempting to win in a different way.

My research lab at Penn is making exciting advancements in AI for healthcare🚀! However, we're facing a GPU shortage for training large vision & language models. Does anyone know where we could access or borrow A100/H100/H200 GPUs to keep our research moving forward? #GPUsNeeded

What a wonderful #BrainAwarenessWeek to share our Transformative Neuropathology preprint🤩 We hope you enjoy this in-depth discussion of key challenges and actionable solutions toward accelerating biomedical discoveries in aging & neurodegeneration through the study of human

⚡️Really thrilled that #textgrad is published in @nature today!⚡️ We present a general method for genAI to self-improve via our new *calculus of text*. We show how this optimizes agents🤖, molecules🧬, code🖥️, treatments💊, non-differentiable systems🤯 + more!

I will give a talk at ENAR 2025 Spring Meeting on Using Large Language Models to Guide Differential Diagnosis for Pathology Images. Hoping for a great turnout! - via #Whova event app

We welcome all submissions to our 1st #CVPR2025 workshop on Multimodal Foundation Models for Biomedicine: Challenges and Opportunities!

Excited too see nuclei.io featured on the cover of Nature Biomedical Engineering! AI-clinician collaboration paper rdcu.be/dLgV1

Excited to see nuclei.io pathologist-AI collaboration framework featured on the Nature Biomedical Engineering April 2025 cover! This is my 2nd cover article after Nature Medicine! Letting AI to assist, not replace medical practice, will make the clinical decision-making faster, safer,

📢 The First Workshop on Multimodal Foundation Models for Biomedicine (MMFM-BIOMED) at #CVPR2025 is still accepting submissions until May 7, 11:59 PM PT! Join speakers from Stanford, Google, MIT & more exploring the intersection of #CV, #NLP & #healthcare. Submit your 4-page

My closed collaborator Prof. Jeff Nirschl Jeff Nirschl has started his research lab at University of Wisconsin!!🎉 Dr. Nirschl has a rare combination of deep expertise in both medicine/pathology and AI/ML. Please check out the two open positions in his lab: Scientific software

I will give an online presentation on our previous and recent exciting work on AI for digital pathology at Clinical & Translational Epidemiology Unit - MGH . See you tomorrow!

Welcome to the CVPR 2025 workshop "Multimodal Foundation Model for Biomedicine" on 6/11 afternoon 1:30 - 5:30 PM in Room 107A. Happy to meet and chat! sites.google.com/view/mmfm-biom…

Our lab is hiring! We are looking for a postdoc in the area of immunology/microbiology+ML, or in pure method/software development. More information about our lab at: mourisl.github.io

Our spatial FFPE-ATAC-seq is now published in Nature Communications! With extensive optimizations, it performs well across diverse tissues, unlocking the vast FFPE archive for spatial epigenomics. Big congrats to Pengfei Guo Pengfei_Guo, Yufan Chen, and the team! nature.com/articles/s4146…

#ICYMI: An AI collaboration framework, developed by Zhi Huang (Penn Path & Lab Medicine) & colleagues, was recently featured on the cover of Nature Biomedical Engineering nature.com/natbiomedeng/v…

Deliriously excited to share our new Neuron Perspective on transformative neuropathology—a roadmap to accelerate brain health discoveries through broader support of brain banks with tech-enabled, team-science approaches to tissue. 🧠 Perspective article: cell.com/neuron/fulltex…

🚨 New to single-cell analysis? Still stuck in a trial-and-error loop? 🚨 Already experienced? Your “optimal” preprocessing pipeline might not actually be optimal. 🚨 Relying on a BioAgent? It likely runs standard procedures that are broadly accepted — but not truly optimal for