8/25 𝗧𝗼𝘄𝗮𝗿𝗱𝘀 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝗕𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 This paper proposes 'biomedical world models' as an AI-driven discovery paradigm, addressing the limitation of current models focusing on static pattern recognition over prospective simulation. These models learn latent representations of biological states and intervention-conditioned dynamics to simulate future trajectories across applications like virtual cells and patients. The paper discusses their role as data engines and environment simulators, outlining necessary data infrastructure, evaluation benchmarks, and governance frameworks for simulation-guided biomedical discovery. #BiomedicalWorldModels #AIDiscovery #SimulationAI #PredictiveBiology #HealthcareAI #DynamicModeling Paper Link: arxiv.org/abs/2606.05925

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🧵Thread 1/11 AI Agents & Human Civilization SimulationAI large language models (LLMs) like @OpenAI's GPT series are not just about chatbots. They're encoding our civilization's essence. A recent Stanford study shows how they can mimic human behavior in dynamic, realistic ways.