No retraining. No fine-tuning. Medical AI Agent Active Learning = Co-Evolves with Humans. A team at UPenn built an AI Agent that learns from a doctor in real time. Not in weeks. In 120 seconds. Here is why this matters if you build AI Agents: 》𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗪𝗲 𝗔𝗹𝗹 𝗞𝗻𝗼𝘄 You train a model. You freeze it. You ship it. Then it hits a real hospital lab and breaks. The data is messy. The edge cases are endless. Retraining takes weeks and costs a fortune. 》𝗪𝗵𝗮𝘁 𝗧𝗶𝘀𝘀𝘂𝗲𝗟𝗮𝗯 𝗗𝗼𝗲𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 A doctor corrects a measurement. The agent updates its logic right away. No retraining loop. No new dataset. Active learning baked into the agent itself. 》𝗧𝗵𝗲 𝗧𝗼𝗼𝗹 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 The agent does not try to do everything. It calls the right tool for the job. One tool reads tissue slides. Another reads scans. The agent picks the best tool and makes the call. Think of it like a crew of expert agents, each with one job. 》𝗧𝗵𝗲 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 99.8% accuracy on prostate cancer. Beat GPT-4o on clinical tasks. After just 120 seconds of a doctor's feedback. The "one big model" era is ending. The AI Agent system era has begun. We can now build AI Agent systems that grow with the human expert. That is what co-evolution looks like in production. Link to Paper in Comments. 💾 Save this if you build Real-World AI Agents. ♻️ Repost to help your network. 𝘞𝘩𝘢𝘵 𝘈𝘐 𝘈𝘨𝘦𝘯𝘵 𝘱𝘢𝘱𝘦𝘳 𝘪𝘯𝘴𝘱𝘪𝘳𝘦𝘥 𝘺𝘰𝘶 𝘭𝘢𝘵𝘦𝘭𝘺? 👇 ≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣ ⫸ꆛ Join 46,000 engineers building production-grade AI agents. Start with the 30-minute Zero → Hero training 2 Guides (88-page) maryammiradi.com/free-ai-age…

Last month, the reality of medical AI changed. No sugarcoating. The University of Pennsylvania learned to solve a complex cancer problem in two minutes in real-time. This is not just another update. It is a shift in how we build. Most people think of AI as a static "black box." You train it, you freeze it, and you hope it works. But if you are building real-world AI Agents, you know that frozen models eventually break when they hit the messy reality of a clinical lab. TissueLab introduces a Co-Evolving architecture. Here is why that is a massive deal for the future of the field: 𝟭️. 𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽 𝗶𝘀 𝗻𝗼𝘄 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 Instead of waiting for weeks of expensive retraining, the system learns from expert feedback in seconds. If a doctor corrects a specific measurement, the agent updates its decision logic immediately through active learning. 𝟮️. 𝗧𝗵𝗲 "𝗧𝗼𝗼𝗹 𝗙𝗮𝗰𝘁𝗼𝗿𝘆" 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 The system does not try to "guess" what is in an image. It acts as a manager, calling specialized expert tools for pathology or radiology. It handles the orchestration so the AI model can focus on the reasoning. 𝟯️. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘁𝗵𝗮𝘁 𝗯𝗲𝗮𝘁𝘀 𝘁𝗵𝗲 𝗴𝗶𝗮𝗻𝘁𝘀 By focusing on how agents use tools rather than just having more parameters, TissueLab outperformed GPT-5 in clinical accuracy. It reached 99.8% accuracy in prostate cancer analysis after only 120 seconds of human interaction. The era of the "all-in-one" model is ending. The era of the Agentic Ecosystem has begun. This is the blueprint for the next generation of medical AI. It is not about finding the "perfect" model. It is about building a system that grows and evolves alongside the human expert. ♻️ Repost to help your network build Real AI Agents. ————————————- Join 46,000 developers in my 𝗙𝗥𝗘𝗘 𝗧𝗥𝗔𝗜𝗡𝗜𝗡𝗚 𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟯𝟬 𝗠𝗶𝗻𝘂𝘁𝗲𝘀 𝗭𝗲𝗿𝗼 𝘁𝗼 𝗛𝗲𝗿𝗼 𝗗𝗲𝗲𝗽 𝗗𝗶𝘃𝗲 👇 maryammiradi.com/free-ai-age…

I will be presenting our lab's "TissueLab" - Agentic AI for investing the future of science at @HarvardChanSPH Program in Quantitative Genomics on next Tuesday 2/17 1-2 PM EST. Looking forward to chatting more about AI and digital pathology for diagnostic innovation and scientific discovery! Join Zoom on 2/17 1-2pm: harvard.zoom.us/j/9121706780…

Wow! TissueLab.org has reached over 1700 users in the first 30 days and almost 500 downloads 🚀🔥! What an impressive achievement by my team. So proud of my students! We will keep shipping the code, fixing the bugs, and improve user experiences. Check out the first co-evolving agentic AI system for medical image analysis! 👉arxiv.org/abs/2509.20279 #TissueLab #AIAgent #AgenticAI #pathology #radiology

Lilin Wang is on 2026 PhD market! “The Future of Women in Science” — Lilin is exceptionally hardworking and deeply dedicated to the field of medical AI. Her curiosity fuels rapid growth. Within just three months, she helped our lab develop z-stacking digital pathology visualization and an AI-based single-cell classifier. She never misses a #TissueLab engineering hackathon. Highly dedicated, eager to learn, inquisitive, and kind-natured, she shows tremendous potential and adaptability. I highly recommend her for any possible PhD program! Please feel free to reach me out for reference letters.

Tiancheng Bao is on 2026 PhD market! "The guru of digital pathology" — Tiancheng is one of the most talented Penn MS students I have ever worked with. He is diligent, hardworking, good-tempered, and extremely dedicated. It’s hard to believe that despite having a cat to take care of, he still manages to produce such astonishing results! Tiancheng is a major contributor to our #TissueLab AI agent system project—an absolute powerhouse in experimental computation. You have my promise that he will success. I give him my highest recommendation. Please feel free to reach me out for reference letters.

Zhi Huang introducing #TissueLab His team’s newly developed #computational #pathology tool @PennPathLabMed 2025 Research Day @PennMedicine @USCAP @ESP_Pathology @Penn

📢 Excited to introduce TissueLab — the first co-evolving, open-source agentic AI ecosystem to transform medical image analysis, copilot clinical decisions & accelerate scientific discovery, with SOTA performance compared to other VLM and GPT-5. Simply ask any research/clinical question! TissueLab will: ✅ Design the workflow for you. ✅ Write the python code. ✅ Execute the workflow and generate answer. 🧵1/n Online portal: tissuelab.org Read preprint: arxiv.org/abs/2509.20279 Blog: linkedin.com/pulse/how-agent…

ANOH PWEDE IPANGPALIT KO SA FB DUMP NAME Q? MAPANGITAN NA AQ SA BASU RAHAN HAHAHAHA SO JEJE. what if Trash Bins? too formal? Aiyen Cee? Plant TissueLab? Madas Entertainment? Pakyo Genetics? Versa Bot? Tenkyuman Forsevingdawell? Tee Gang? Rey Bound? ano bah huhu

Aqui estão algumas das gravatas do novo stock . Para obter o catálogo completo : wa.me/c/258852709281 Ou Vejam o Story ou destaque na Página do IG da TissueLab : instagram.com/tissuelab.mz?i… . RT pls 🙏🏿

Today's Client TissueLab ™️ instagram.com/tissuelab.mz?i…

Deixem-me apresentar-vos a TissueLab . Criada inicialmente com a imagem MansTissueLab, é uma marca direcionada a venda de roupas e acessórios masculinos de origem novos , de 2a mão ou desapegos, de alta qualidade, com padrões únicos e de marca, a preços acessíveis ( todos a

É OFICIAL . A TissueLab vai lançar uma forma " girls edition " na segunda feira . Artigos diversos, formais, casuais e esportivos com preços com sentido ( baixos ), não brecho de 700-1000mt 🤭

É hoje 💯💯💯 Lançamento do 14th february Combo Promo ( gravatas ) e Colecção de camisas formais 😎 Sigam a página do IG para terem acesso aos artigos em primeira mão : instagram.com/tissuelab.mz?i… TissueLab ™️ RT 🙏🏾

Thats Why TissueLab make it right 😎