2025-12-18-15_articles_updated
Published:
期刊: Nature Aging
标题: 整合多基因信号和单细胞多组学鉴定出对免疫和衰老相关疾病至关重要的细胞类型特异性调控组
英文标题: Integrating polygenic signals and single-cell multiomics identifies cell-type-specific regulomes critical for immune- and aging-related diseases
链接: https://www.nature.com/articles/s43587-025-01027-5
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 机器学习驱动的肝细胞癌肿瘤异质性和唾液酸化全面分析
英文标题: Machine learning-driven comprehensive profiling of tumor heterogeneity and sialylation in hepatocellular carcinoma
链接: https://www.nature.com/articles/s41698-025-01213-z
期刊: AAAS: Science Advances: Table of Contents
标题: GPNMB是溶酶体功能障碍的生物标志物，并通过LRRK2调节的溶酶体外排分泌。
英文标题: GPNMB is a biomarker for lysosomal dysfunction and is secreted via LRRK2-modulated lysosomal exocytosis
链接: https://www.science.org/doi/abs/10.1126/sciadv.adv1434?af=R
期刊: npj Digital Medicine
标题: 快速多模态成像结合机器学习识别牛磺酸作为乳腺癌边缘评估的潜在标志物
英文标题: Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment
链接: https://www.nature.com/articles/s41746-025-02202-z
期刊: npj Digital Medicine
标题: 基于机器学习的预测急诊住院后医疗接触的电子健康记录
英文标题: Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records
链接: https://www.nature.com/articles/s41746-025-02138-4
期刊: cs.LG updates on arXiv.org
标题: 基于物理指导的深度学习用于热泵应力检测：When2Heat数据集的全面分析
英文标题: Physics-Guided Deep Learning for Heat Pump Stress Detection: A Comprehensive Analysis on When2Heat Dataset
链接: https://arxiv.org/abs/2512.13696
期刊: cs.LG updates on arXiv.org
标题: 利用环境数据基于机器学习模型预测呼吸道合胞病毒相关住院情况
英文标题: Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
链接: https://arxiv.org/abs/2512.13712
期刊: cs.LG updates on arXiv.org
标题: EEG-D3：解决深度学习模型隐藏过拟合问题的解决方案
英文标题: EEG-D3: A Solution to the Hidden Overfitting Problem of Deep Learning Models
链接: https://arxiv.org/abs/2512.13806
期刊: cs.LG updates on arXiv.org
标题: 探索南美洲季节性降水预测的机器学习、深度学习和可解释人工智能方法
英文标题: Exploring Machine Learning, Deep Learning, and Explainable AI Methods for Seasonal Precipitation Prediction in South America
链接: https://arxiv.org/abs/2512.13910
期刊: cs.LG updates on arXiv.org
标题: 超越MMD：使用几何深度学习评估图生成模型
英文标题: Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
链接: https://arxiv.org/abs/2512.14241
期刊: cs.LG updates on arXiv.org
标题: AnySleep：一种针对多中心队列高分辨率睡眠分期的不依赖通道的深度学习系统
英文标题: AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
链接: https://arxiv.org/abs/2512.14461
期刊: cs.LG updates on arXiv.org
标题: 迈向心电图正向问题的深度学习代理：基于物理模型的可扩展替代方案
英文标题: Towards Deep Learning Surrogate for the Forward Problem in Electrocardiology: A Scalable Alternative to Physics-Based Models
链接: https://arxiv.org/abs/2512.13765
期刊: cs.LG updates on arXiv.org
标题: 物理信息机器学习在两相移动界面和斯蒂芬问题中的应用
英文标题: Physics-Informed Machine Learning for Two-Phase Moving-Interface and Stefan Problems
链接: https://arxiv.org/abs/2512.14010
期刊: cs.LG updates on arXiv.org
标题: 持久图中的显著点检测：深度学习方法
英文标题: TUN: Detecting Significant Points in Persistence Diagrams with Deep Learning
链接: https://arxiv.org/abs/2512.14274
期刊: cs.LG updates on arXiv.org
标题: Q2SAR：一种用于药物发现的量子多核学习方法
英文标题: Q2SAR: A Quantum Multiple Kernel Learning Approach for Drug Discovery
链接: https://arxiv.org/abs/2506.14920