2026-10-29-7_articles_updated

您好 Zhilong，大模型今日为您筛选出 7 篇高度相关论文：

期刊: Computational biology and bioinformatics : nature.com subject feeds

标题: 深度学习从骨髓涂片预测急性髓系白血病中的IDH1突变状态

英文标题: Deep learning predicts IDH1 mutation status in acute myeloid leukemia from bone marrow smears

链接: https://www.nature.com/articles/s41698-026-01762-x

期刊: Computational biology and bioinformatics : nature.com subject feeds

标题: CPRISP：一种可解释的深度学习框架，用于预测circRNA-RBP相互作用并指导神经退行性疾病的治疗发现

英文标题: CPRISP: an interpretable deep learning framework predicting circRNA-RBP interactions and guiding therapeutic discovery in neurodegeneration

链接: https://www.nature.com/articles/s41467-026-79009-3

期刊: Nature

标题: 阿尔茨海默病遗传学汇聚于小胶质细胞和神经元的调控失调

英文标题: Alzheimer’s disease genetics converges on microglial and neuronal dysregulation

链接: https://www.nature.com/articles/s41586-026-11206-y

期刊: Latest headlines from BMJ

标题: 分析表明，AI 推荐的治疗方案比医生贵得多

英文标题: AI recommends vastly more expensive treatment than physicians, analysis suggests

链接: http://www.bmj.com/content/395/bmj-2026-101271.short?rss=1

期刊: Latest headlines from BMJ

标题: 医生是否应该使用社交媒体？

英文标题: Should doctors be on social media?

链接: http://www.bmj.com/content/395/bmj-2026-101156.short?rss=1

期刊: Nature Genetics

标题: 大规模骨骼肌单核多组学分析揭示了广泛的情境特异性基因调控

英文标题: Population-scale single-nucleus multi-omic profiling of skeletal muscle reveals extensive context-specific genetic regulation

链接: https://www.nature.com/articles/s41588-026-02786-6

期刊: AAAS: Science Advances: Table of Contents

标题: 基于 DRUG-GAN 的全谱生成式先导化合物发现流程：一种用于生成类药及靶点特异性化合物库的多尺度方法

英文标题: A Full-Spectrum Generative Lead Discovery (FSGLD) pipeline via DRUG-GAN: A multiscale method for drug-like/target-specific compound library generation

链接: https://www.science.org/doi/abs/10.1126/sciadv.aei5257?af=R