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3 papers published across 0 labs.
LLMs can't engineer: even the best models fail to produce structurally sound CAD designs without iterative refinement and FEA-informed feedback.
Forget hand-engineered features: this work shows how to train LLMs to predict clinical events directly from unstructured notes, achieving surprisingly strong results.
AI's promise to revolutionize pharma is tempered by the urgent need for explainable, validated models that can navigate regulatory hurdles and ethical concerns.
