Bo Wang
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
- 🔥 Unveiling the Future of Genomics with Genome Language Models (gLMs)! 🔥 Our comprehensive review, "Transformers and genome language models," is finally published in Nature Machine Intelligence! Link: nature.com/articles/s42...
- Key Highlights: 🔬 The Challenges Addressed by gLMs: gLMs tackle the intricate task of interpreting vast genomic sequences, enabling predictions about gene regulation, variant effects, and more.
- 🧠 Transformers in Genomics: Discover how transformer architectures, renowned for their success in natural language processing, are adept at capturing long-range dependencies in genomic data, leading to more accurate models.
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View full threadThis pivotal work is the result of a collaborative effort led by Micaela E. Consens, with contributions from Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J. Theis, Alan Moses. @uhnresearch.bsky.social @vectorinstitute.ai @uoft.bsky.social
- How can generative AI and Robotics help advance drug discovery？ 🚀 Excited to introduce LUMI-lab! A foundation model-driven Self-Driving Lab (SDL) for autonomous ionizable lipid discovery in mRNA delivery 🤖🔍
- 🔬 What is LUMI-lab? LUMI-lab integrates molecular foundation models with autonomous robotic experiments to efficiently explore new LNPs (lipid nanoparticles, mRNA delivery vehicles) with minimal wet-lab data.
- 🔥 Key Highlights: - Foundation model trained on 28M molecules using a three-step strategy: - Unsupervised pretraining to capture broad molecular knowledge - Continual pretraining to specialize in lipid-like molecules - Active learning fine-tuning within a closed-loop experimental system
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View full thread🙏 A huge team effort behind this work, with special appreciation to BowenLi Lab for driving the project. Kudos to Haotian Cui, Yue Xu, Kuan Pang, Gen Li and Fanglin Gong!
- Agentic AI Meets Medicine!!! 🔬 Excited to announce MedRAX: a groundbreaking Medical Reasoning Agent for Chest X-ray interpretation, now on arXiv! Paper:https://arxiv.org/abs/2502.02673 Code: github.com/bowang-lab/M...
- What is MedRAX? MedRAX is the first versatile AI agent that seamlessly integrates state-of-the-art chest X-ray analysis tools and multimodal large language models into a unified framework, enabling dynamic reasoning for complex medical queries without additional training.
- 🎯 Why MedRAX? While specialized AI models excel at specific chest X-ray tasks, they often operate in isolation. Medical professionals need a unified, reliable system that can handle complex queries while maintaining accuracy. MedRAX bridges this gap!
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View full thread🎉 Results speak for themselves: - 63.1% accuracy on ChestAgentBench - State-of-the-art performance on CheXbench - Outperforms both general-purpose and specialized medical models 🙏 Huge shoutout to Adibvafa, Jun, Alif, and Hongwei for their exceptional work on this project!
- 🚀 Introducing scGPT-spatial! 🧬🌍 A game-changing spatial-omic foundation model, built on the powerful scGPT framework with MoE (mixture of experts) and continually pretrained on a massive 30 million spatial single-cell profiles!
- 🧠 What’s the challenge? Spatial transcriptomics is next-level complex—not only must we model single-cell/spot profiles, but we also need to capture intricate spatial relationships while handling diverse sequencing protocols (imaging-based vs. sequencing-based).
- 🔥 Why scGPT-spatial? ✨ A Spatial-omic Foundation Model with Continual Pretraining – Built on scGPT’s robust initialization, it unlocks spatial context in tissues. ✨ SpatialHuman30M Dataset – The largest curated dataset: 30M profiles from Visium, Visium HD, Xenium, and MERFISH across 821 slides.
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View full threadHuge shoutout to the incredible PHD students Chloe Wang and Haotian Cui for leading this groundbreaking project! 🎉 Massive thanks to our amazing co-authors Andrew, Ronald, and Hani ( @genophoria.bsky.social )from @arcinstitute.org —this work wouldn't have been possible without you! 👏
- Reposted by Bo WangOur Jan issue is live! nature.com/natmachintell with an article (Yejin Choi et al) and N&V commentary (Molly Crockett) on Delphi, designed to investigate AI moral reasoning. Also read about IntegrateAnyOmics by @bowang87.bsky.social, an unsupervised platform to tackle incomplete multi-omics data.
- Our first accepted paper in 2025: 🚀 Introducing MorphoDiff: Our new diffusion-based generative pipeline for high-resolution cellular morphology prediction, guided by perturbation signals, now accepted at ICLR 2025!
- ✨ Key Contributions: 1️⃣ Perturbation-guided generation: Predicts high-resolution cellular phenotypes in large fields of view. 2️⃣ Generalization: Works with genetic and chemical perturbations, even unseen interventions.
- 3️⃣ Validation: Tested on 3 public Cell Painting datasets, excelling in fidelity, biological interpretability, and visual quality. 🧬 MorphoDiff bridges the gap between transcriptomic-level tools and rich phenotypic insights from high-content microscopy, driving progress in drug discovery.
- 📄 Learn more: BioRxiv: biorxiv.org/content/10.1... Code: github.com/bowang-lab/M... 🎓 Led by the amazing PhD student Navidi Zeinab , co-supervised with Benjamin Haibe-Kains. Big thanks to Jun Ma, Esteban Miglietta, Le Liu, and Anne Carpenter & Beth Cimini for their invaluable contributions!
- Thrilled that ‘Foundation Models for Biology’ has been named one of the top 7 technologies to watch by @nature.com ! Thanks for highlighting our scGPT work! Also honored to contribute to such a visionary piece. 2025 will be an exciting year for AI & biology! www.nature.com/articles/d41...
- How to build a virtual cell is the “Holy Grail” of the biology! A great read from The Atlantic @theatlantic.com ! Also thanks for highlighting our scGPT, the model that started the new wave of foundation models in biology! www.theatlantic.com/technology/a...
- Our Orthrus, one of the first RNA foundation models, is on #NeurIPS2024 !! More details can be seen: x.com/bowang87/sta...
- Excited to be presenting Orthrus with Ruain Shi and Keren Isaev @karini925.bsky.social today! We will be presenting our spotlight at the workshop on AI for new drug modalities #NeurIPS2024 Come chat about a new approach to mRNA representation learning!
- Reposted by Bo WangExcited to be presenting Orthrus with Ruain Shi and Keren Isaev @karini925.bsky.social today! We will be presenting our spotlight at the workshop on AI for new drug modalities #NeurIPS2024 Come chat about a new approach to mRNA representation learning!
- Reposted by Bo WangThree UHN research projects have received over $4M through the Ontario Research Fund, part of a $92M investment in Ontario research! Learn how this funding advances: ▶️#MRI tech ▶️#AI for donor lungs ▶️Muscle & joint #health Congrats to the awardees! 🔗 www.uhnresearch.ca/news/investi...
- Reposted by Bo WangAI: The New Virtual Radiologist 🩻 🫁 Researchers at UHN’s Toronto General Hospital Research Institute are using AI to enhance the accuracy and consistency of organ evaluation for lung #transplantation. Read more ➡️ www.uhnresearch.ca/news/ai-new-...
- This is an exciting milestone for our MEDSAM! 🎉 Our paper "Segment Anything in Medical Images" has surpassed 1,000 citations!
- Grateful to the amazing community advancing medical image analysis. This work introduced the first promptable medical image segmentation foundation model, generalizing across diverse medical imaging modalities and a wide range of anatomical structures or pathologies.
- The public code repository has received 3000+ stars, and we’re thrilled to see researchers have utilized MedSAM in various ways, such as adaptation, fine-tuning, and development of new models.
- Thank you to the global community for citing, sharing, and building on this work! 🙏 Read the paper here: nature.com/articles/s41... Stay tuned for MedSAM2, set to be released next month, offering enhanced efficiency and accuracy for medical video and 3D image segmentation.
- This is amazing article! Thanks @erictopol.bsky.social for highlighting two of our new foundation models for DNA methylation!
- A vertical takeoff of life science with #AI LLLMs. Publication of 10 new foundation models of Proteins, DNA, RNA, methylation, cells, and interactions, evolution, and design in the past couple of weeks! Unprecedented progress, reviewed in the new Ground Truths erictopol.substack.com/p/learning-t...
- thanks @haoyin.bsky.social 🙏🙏
- Dr. Bo Wang is on BlueSky now @bowang87.bsky.social Follow him if you don't want to miss the coolest AI-Biomedical development!!!😎
