🔥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

Thanks for the nomination VentureBeat. It's an honor to be included in this glowing list of outstanding women in AI. UW School of Medicine and Public Health UW-Madison BME UW Radiology Integrated Diagnostics and Analytics (IDiA) Lab

Microscopy is a cornerstone of biomedical research. Vision-language models (VLMs) offer a promising solution for large-scale biomedical image analysis, however standardized and diverse benchmarks have been lacking until now. Introducing µ-Bench ale9806.github.io/uBench-website/ [1/7]

Check out our VLM benchmark led by Alejandro Lozano @ CVPR 2025 and Jeff Nirschl! Future AI could help biologists make new discoveries with images, but first, we need a basic understanding of image content. Our work shows there's still a long way to go.

Excited to introduce μ-Bench, a new comprehensive benchmark for microscopy image understanding including 22 perception tasks. It spans scales (from pathology images to electron microscopy), modalities, disciplines, and organisms, and is available for public use on HF. We also

It’s time to revisit the active learning loop. Checkout joint work Transactions on Machine Learning Research with Sanket and Jeff Nirschl introducing DropQuery: a simple, effective AL strategy designed to leverage the robust representations of vision foundation models. openreview.net/pdf?id=u8K83M9…

🚀 Can self-training improve general LVLM performance? 🏎️ How can you adapt your LVLMs to new and diverse applications? 📢 Happy to announce Video-STaR, a self-training approach to utilize any supervision for video instruction tuning! 🧵👇

📢 Check out our ECCV paper, “Viewpoint Textual Inversion” (ViewNeTI), where we show that text-to-image diffusion models have 3D view control in their text input space jmhb0.github.io/view_neti/

How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine? 🚀 Take a look at our Perspective! arxiv.org/pdf/2409.11654

1. When you hit your 40’s, you’ll see 2 types of people: Those who took care of themselves and those who did not. 2. Lifting weights is investing in your future self. Start now to be functional well into your 80s while increasing your attractiveness.

Biomedical datasets are often confined to specific domains, missing valuable insights from adjacent fields. To bridge this gap, we present BIOMEDICA: an open-source framework to extract and serialize PMC-OA. 📄Paper: lnkd.in/dUUgA6rR 🌐Website: lnkd.in/dnqZZW4M

🚀 Introducing Temporal Preference Optimization (TPO) – a video-centric post-training framework that enhances temporal grounding in long-form videos for Video-LMMs! 🎥✨ 🔍 Key Highlights: ✅ Self-improvement via preference learning – Models learn to differentiate well-grounded

🚨Large video-language models LLaVA-Video can do single-video tasks. But can they compare videos? Imagine you’re learning a sports skill like kicking: can an AI tell how your kick differs from an expert video? 🚀 Introducing "Video Action Differencing" (VidDiff), ICLR 2025 🧵

Introducing MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research #CVPR2025 ✅ 1k multimodal reasoning VQAs testing MLLMs for science 🧑‍🔬 Biology researchers manually created the questions 🤖 RefineBot: a method for fixing QA language shortcuts 🧵

"Dr. Dirk Keene, a professor and the director of neuropathology at UW Medicine who leads the brain bank, said if federal funding dries up, he’ll go to almost any end to 'honor the gift' of people's donation." nbcnews.com/health/health-…

Today, the Wisconsin Brain Donor Program and Wisconsin ADRC join the national observance of #BrainDonorAwarenessDay to recognize and honor the individuals and families who have made the extraordinary decision to donate their brains to science. Learn more at

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

adrc.wisc.edu/news/nirschl-h…

🧬 What if we could build a virtual cell to predict how it responds to drugs or genetic perturbations? Super excited to introduce CellFlux at #ICML2025 — an image generative model that simulates cellular morphological changes from microscopy images. yuhui-zh15.github.io/CellFlux/ 💡