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该论文提出CASE——一系列用于证据搜集的临床智能体，结合工具使用框架与智能体后训练方法，在基于UK Biobank构建的纵向多模态医学基准上进行评估，其基于Qwen3-VL-8B的智能体在匹配评估条件下答案准确率相对GPT-5.4和Claude Opus 4.8分别提升超16%和10%。
A study using UK Biobank data found that babies exposed to less sugar during their first 1,000 days due to post-war rationing had lower cancer risk and slower biological aging in adulthood.
This paper argues that measurement noise, not model inadequacy, explains why nonlinear models often fail to outperform linear regression in biomedical prediction, as noise attenuates nonlinear structure faster than linear structure, a limitation that cannot be overcome by more data or model complexity.