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糖尿病治疗新突破：可口服的“智能益生菌”，中国团队原创，登上 Nature
可口服的智能益生菌，能感知血糖并自动调控基因表达，为糖尿病治疗带来突破性新选择。
IT之家 8 月 13 日消息，我国科研团队开发出一种可口服的“智能益生菌”，带来糖尿病治疗新突破，相关研究成果 8 月 12 日发表于《Nature》。 华东师范大学生命科学学院叶海峰教授团队开发了一种可口服递送、具备葡萄糖感知‑功能响应能力的工程化益生菌活体药物， 基于“感知‑响应”模式调控糖尿…
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Troubling new details emerge on diabetes ouster controversy
美国糖尿病协会被曝阻挠评论文章发表，作者无奈转投预印本，科学出版的审查争议再添新证。
American Diabetes Association blocked publication of op-ed articles so the authors posted them as a preprint.
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T2D-Bench: Evidence-Gated Evaluation of LLM Outputs for Type 2 Diabetes Using a Multi-Layer Clinical-Lifestyle Knowledge Graph
专为2型糖尿病打造的LLM评估基准，用多层临床-生活方式知识图谱给模型输出上“证据门禁”。
arXiv:2606.24145v1 Announce Type: new Abstract: Large language models (LLMs) can produce clinically fluent recommendations for type 2 diabetes while f…
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Clinical Assistant for Remote Engagement Link (CARE-link): A Web-Based Electronic Health Records Software for Managing Diabetes
糖尿病管理新工具：CARE-link 网页软件利用电子健康记录实现远程患者参与，优化临床工作流。
arXiv:2606.04952v1 Announce Type: cross Abstract: CARE-link is an open-source, web-based clinical support platform designed to improve the management …
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AI Rater Discrimination Depends on Scoring Protocol in Complex Clinical Decision-Making
首次量化不同评分协议下LLM作为AI评分者在复杂临床决策中的歧视行为，揭示评估条件对偏见的影响
arXiv:2606.03198v1 Announce Type: cross Abstract: Clinical AI evaluation increasingly delegates scoring to large language models (LLMs) acting as AI r…
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Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study
视网膜影像结合可解释多任务学习，揭示微血管信号用于2型糖尿病全身风险分层，AI医疗新突破。
arXiv:2605.24913v1 Announce Type: cross Abstract: Retinal imaging provides a non-invasive window into systemic microvascular health and has emerged as…
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Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes
视网膜图像结合可解释AI，精准预测2型糖尿病多器官功能异常，揭示疾病关联新路径。
arXiv:2605.24912v1 Announce Type: cross Abstract: Background: Type 2 diabetes mellitus (T2DM) is increasingly recognised as a systemic disease charact…
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GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
用反事实推理构建1型糖尿病数字孪生，通过患者行为优化实现精准血糖控制。
arXiv:2504.09846v2 Announce Type: replace-cross Abstract: Frequent and long-term exposure to hyperglycemia increases the risk of chronic complications…
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PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
用混合数字孪生+LSTM实现1型糖尿病长期血糖预测，精准度突破现有方法。
arXiv:2605.16860v1 Announce Type: new Abstract: Accurate long-horizon glucose forecasting is critical for automated insulin delivery systems, which he…