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研究团队调查发现超七成英语生物医学论文已使用 AI 辅助写作，呼吁业界建立完善监管机制
精准识别生物医学论文中的AI辅助写作痕迹，为学术诚信提供数据支撑，多引擎检测更可靠
IT之家 8 月 25 日消息，据外媒 phys 报道，近期 Lena Holzwarth 带头的研究团队分析了来自 PubMed Central 平台的 119 万余篇英文生物医学论文，发现生成式 AI 正迅速融入学术论文写作。 研究人员通过分析论文中的“AI 高频用词”（例“delves”“ex…
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Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen
分析3.3万个PR，揭示智能体编程时代人机协作信号，为生物医学AI与生信开发提供实证参考。
arXiv:2608.13884v1 Announce Type: cross Abstract: The rapid adoption of AI coding assistants and autonomous agentic development systems has coincided …
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When Retrieval Helps and Distracts: Evaluating Evidence-Generating LLMs for Biomedical Claim Verification
探究检索对生物医学事实验证的双刃剑效应，证据生成模型何时被误导？一篇严谨的评估研究。
arXiv:2608.01409v1 Announce Type: new Abstract: Biomedical fact-checking systems must do more than predict whether a claim is supported, contradicted,…
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Capabilities of Claude Fable 5 on Biomedical Challenge Problems
首个公开评估Claude Fable 5在生物医学挑战问题的表现，直面基准饱和与评估方法可靠性问题。
arXiv:2607.10849v1 Announce Type: new Abstract: Frontier language models are increasingly evaluated on biomedical benchmarks, but two problems undermi…
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AI can cause harm: safeguards must catch up
九成生物医学论文已现AI痕迹，警惕AI风险的同时，安全护栏却严重滞后，值得科研界深思。
Nature, Published online: 07 July 2026; doi:10.1038/d41586-026-02109-z AI can cause harm: safeguards must catch up
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A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI
基于神经影像的模拟框架，为因果AI开发与评估提供新方案，代码开源。
arXiv:2606.28684v1 Announce Type: cross Abstract: Causally linking disease-related factors to image-derived biomarkers provides a powerful pathway to …
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RetiSEM: Generalising Causal Models for Fragmented Biomedical Data
提出RetiSEM框架，破解碎片化生物医学数据中的因果建模难题，为精准医疗提供新思路。
arXiv:2606.24488v1 Announce Type: cross Abstract: Learning causal models from fragmented biomedical data is challenging because clinical, molecular, a…
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Automated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM Agent
用本体约束LLM代理，实现遗留生物医学元数据自动化标准化，推动FAIR数据落地。
arXiv:2604.08552v2 Announce Type: replace-cross Abstract: Scientific metadata are often incomplete and noncompliant with community standards, limiting…
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Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure
用AI智能代理自动发现混合结构，为心脏电生理数字孪生建模开辟新路径，跨学科前沿探索。
arXiv:2606.18154v1 Announce Type: new Abstract: Building personalized cardiac electrophysiology (EP) digital twins requires identifying the appropriat…
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Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization
用小语言模型低成本搞定生物医学声明验证，揭秘结构化数据集捷径与跨域泛化新发现。
arXiv:2606.12854v1 Announce Type: new Abstract: Large Language Models such as GPT-4o and GPT-5 achieve strong zero-shot performance on biomedical clai…
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Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders
融合fMRI信号的幅度与相位，用动态功能连接识别脑疾病，创新方法值得关注。
arXiv:2603.24603v2 Announce Type: replace-cross Abstract: Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonan…
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OmniBioTwin: A System-of-Twinned-Systems Framework for Health Digital Twins
健康数字孪生碎片化？OmniBioTwin提出跨尺度系统框架，为个体化建模提供通用架构。
arXiv:2606.11264v1 Announce Type: cross Abstract: Health digital twins (HDTs) promise patient-specific modeling and decision support but current appro…
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Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture
一种可审计的生物医学信息学架构，用确定性完整性门控确保LLM辅助临床手稿的准确与可信。
arXiv:2606.09500v1 Announce Type: new Abstract: Objective. Large language models (LLMs) increasingly draft clinical research manuscripts, but their fl…
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Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters
用无监督学习揭开亨廷顿病分期之谜，模型表征与聚类分析解读疾病进展规律
arXiv:2606.07135v1 Announce Type: new Abstract: Huntington's disease (HD) is a progressive neurodegenerative disorder that affects motor, cognitive, a…
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What happens when companies replace managers with AI?
AI训练数据中生物医学内容占比17.5%，GitHub和代码数据集同样关键，揭示大模型数据构成细节。
Article URL: https://analysis.infocentral.net/replacing-managers-with-ai.html Comments URL: https://news.ycombinator.com/item?id=48370221 Points: 3 # …
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Protocol for evaluating ChatGPT in biomedical association generation and verification using a RAG-enabled, cross-model majority voting workflow
一份结合RAG与跨模型多数投票的评估协议，为在生物医学领域测试ChatGPT的关联生成与验证能力提供了可复现的新方案。
arXiv:2605.30400v1 Announce Type: new Abstract: We present a protocol to evaluate ChatGPT's ability to generate disease-centric biomedical association…
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BioELX: Cross-lingual Biomedical Entity Linking via Alias-based Retrieval and LLM Ranking
跨语言生物医学实体链接新方案，利用别名检索增强召回，LLM精排提升准确率，值得NLP和生物信息领域关注。
arXiv:2605.27380v1 Announce Type: cross Abstract: Cross-lingual biomedical entity linking (BEL) maps mentions in any language to unique identifiers in…
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BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
生物医学实体链接新突破：利用生成式重排序提升实体匹配精度，已被SIGIR 2026接收。
arXiv:2605.22501v1 Announce Type: new Abstract: Despite recent progress, Biomedical Entity Linking (BEL) with large language models (LLMs) remains com…
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YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
用自然语言对话探索生物医学数据，结合生成式AI与交互可视化，让非技术用户也能轻松发现数据洞见。
arXiv:2509.19182v2 Announce Type: replace-cross Abstract: Incorporating natural language input has the potential to improve the capabilities of biomed…
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Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
提出小语言模型Med-V1，零样本实现生物医学证据归因，兼顾规模与可扩展性
arXiv:2603.05308v2 Announce Type: replace Abstract: Assessing whether an article supports an assertion is essential for hallucination detection and cl…