2025-12-10-40_articles_updated
Published:
期刊: Nature
标题: 药物问题不会因美国价格法规而得到解决
英文标题: Drug woes won’t be tamed by US price regulations
链接: https://www.nature.com/articles/d41586-025-03999-1
期刊: Nature
标题: 第一个由AI设计的药物将会是什么？这些用于对抗疾病的抗体是顶尖竞争者。
英文标题: What will be the first AI-designed drug? These disease-fighting antibodies are top contenders
链接: https://www.nature.com/articles/d41586-025-03965-x
期刊: Nature Communications
标题: 通过结构驱动计算工作流程从头设计针对表位特异性抗体的设计
英文标题: De novo design of epitope-specific antibodies via a structure-driven computational workflow
链接: https://www.nature.com/articles/s41467-025-67361-9
期刊: Nature Communications
标题: 利用N-端组学和机器学习探究N端精氨酸化
英文标题: Implementing N-terminomics and machine learning to probe Nt-arginylation
链接: https://www.nature.com/articles/s41467-025-66883-6
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 通过结构驱动的计算工作流程从头设计表位特异性抗体
英文标题: De novo design of epitope-specific antibodies via a structure-driven computational workflow
链接: https://www.nature.com/articles/s41467-025-67361-9
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 隐私保护多站点全基因组关联研究：PP-GWAS
英文标题: PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
链接: https://www.nature.com/articles/s41467-025-66771-z
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 第一个由AI设计的药物会是什么？这些对抗疾病的抗体是顶级竞争者。
英文标题: What will be the first AI-designed drug? These disease-fighting antibodies are top contenders
链接: https://www.nature.com/articles/d41586-025-03965-x
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 多维度组学整合机器学习框架识别巨噬细胞-成纤维细胞-肿瘤共浸润模式以预测胃癌预后
英文标题: Multi-dimensional omics integrated machine learning framework identifies macrophage-fibroblast-tumor co-infiltration patterns to predict prognosis in gastric cancer
链接: https://www.nature.com/articles/s41746-025-02179-9
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 乳腺癌免疫治疗反应的标志物预测：从单一标志物到多组学整合
英文标题: Biomarker prediction of immunotherapy response in breast cancer: from single markers to multi-omics integration
链接: https://www.nature.com/articles/s41523-025-00873-1
期刊: Cell
标题: 针对药物递送和增强癌症免疫疗法的致敏肥大细胞
英文标题: Sensitized mast cells for targeted drug delivery and augmented cancer immunotherapy
链接: https://www.cell.com/cell/fulltext/S0092-8674(25)01311-X?rss=yes
期刊: JAMA Current Issue
标题: 美国食品药品监督管理局的优先事项
英文标题: Priorities of the US Food and Drug Administration
链接: https://jamanetwork.com/journals/jama/fullarticle/2840881
期刊: JAMA Current Issue
标题: 美国食品药品监督管理局的优先事项——回复
英文标题: Priorities of the US Food and Drug Administration—Reply
链接: https://jamanetwork.com/journals/jama/fullarticle/2840880
期刊: cs.LG updates on arXiv.org
标题: 基于实验和合成红外吸收光谱的挥发性有机化合物深度学习识别与分析
英文标题: Deep learning recognition and analysis of Volatile Organic Compounds based on experimental and synthetic infrared absorption spectra
链接: https://arxiv.org/abs/2512.06059
期刊: cs.LG updates on arXiv.org
标题: 分层几何深度学习实现可扩展的分子动力学分析
英文标题: Hierarchical geometric deep learning enables scalable analysis of molecular dynamics
链接: https://arxiv.org/abs/2512.06520
期刊: cs.LG updates on arXiv.org
标题: 利用基于视觉的机器学习估算城市交通中的黑碳浓度
英文标题: Estimating Black Carbon Concentration from Urban Traffic Using Vision-Based Machine Learning
链接: https://arxiv.org/abs/2512.06649
期刊: cs.LG updates on arXiv.org
标题: 利用深度学习和水库计算解码运动行为
英文标题: Decoding Motor Behavior Using Deep Learning and Reservoir Computing
链接: https://arxiv.org/abs/2512.06725
期刊: cs.LG updates on arXiv.org
标题: 迈向关系感知的表格数据转换器
英文标题: Towards a Relationship-Aware Transformer for Tabular Data
链接: https://arxiv.org/abs/2512.07310
期刊: cs.LG updates on arXiv.org
标题: 机器学习：进展与展望
英文标题: Machine Learning: Progress and Prospects
链接: https://arxiv.org/abs/2512.07519
期刊: cs.LG updates on arXiv.org
标题: 深度学习在自闭症检测中应用临床笔记：对比透明和黑盒方法的迁移学习
英文标题: Deep learning for autism detection using clinical notes: A comparison of transfer learning for a transparent and black-box approach
链接: https://arxiv.org/abs/2512.06161
期刊: cs.LG updates on arXiv.org
标题: 不确定性动物园：一个用于量化深度学习系统中预测不确定性的统一工具包
英文标题: UncertaintyZoo: A Unified Toolkit for Quantifying Predictive Uncertainty in Deep Learning Systems
链接: https://arxiv.org/abs/2512.06406
期刊: cs.LG updates on arXiv.org
标题: 自动深度学习估算用于参赛前心血管筛查的体测量值
英文标题: Automated Deep Learning Estimation of Anthropometric Measurements for Preparticipation Cardiovascular Screening
链接: https://arxiv.org/abs/2512.06434
期刊: cs.LG updates on arXiv.org
标题: PRIMRose：使用深度学习揭示蛋白质双重InDel突变中每残基能量指标的见解
英文标题: PRIMRose: Insights into the Per-Residue Energy Metrics of Proteins with Double InDel Mutations using Deep Learning
链接: https://arxiv.org/abs/2512.06496
期刊: cs.LG updates on arXiv.org
标题: 新颖的深度学习架构用于脑肿瘤MRI图像的分类和分割
英文标题: Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
链接: https://arxiv.org/abs/2512.06531
期刊: cs.LG updates on arXiv.org
标题: 机器学习训练流程的I/O性能预测建模：一种数据驱动的存储优化方法
英文标题: Predictive Modeling of I/O Performance for Machine Learning Training Pipelines: A Data-Driven Approach to Storage Optimization
链接: https://arxiv.org/abs/2512.06699
期刊: cs.LG updates on arXiv.org
标题: 机器学习中的最优与扩散传输
英文标题: Optimal and Diffusion Transports in Machine Learning
链接: https://arxiv.org/abs/2512.06797
期刊: cs.LG updates on arXiv.org
标题: 对零日攻击检测的监督机器学习模型的全面研究：分析在不平衡数据上的性能
英文标题: A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data
链接: https://arxiv.org/abs/2512.07030
期刊: cs.LG updates on arXiv.org
标题: AutoLugano：一种用于完全自动淋巴瘤分割和Lugano分期的FDG-PET/CT深度学习框架
英文标题: AutoLugano: A Deep Learning Framework for Fully Automated Lymphoma Segmentation and Lugano Staging on FDG-PET/CT
链接: https://arxiv.org/abs/2512.07206
期刊: cs.LG updates on arXiv.org
标题: 通过Shapley导出的协议和不确定性指标对深度学习分割的临床可解释性进行解释
英文标题: Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics
链接: https://arxiv.org/abs/2512.07224
期刊: cs.LG updates on arXiv.org
标题: 基于期望最大化框架的即时预测机器学习
英文标题: Machine learning in an expectation-maximisation framework for nowcasting
链接: https://arxiv.org/abs/2512.07335
期刊: cs.LG updates on arXiv.org
标题: 优化机器学习方法研究复杂自旋系统的热力学行为
英文标题: Optimized Machine Learning Methods for Studying the Thermodynamic Behavior of Complex Spin Systems
链接: https://arxiv.org/abs/2512.07458
期刊: cs.LG updates on arXiv.org
标题: 一种通过深度学习进行威胁行为分析的自适应多层蜜网架构
英文标题: An Adaptive Multi-Layered Honeynet Architecture for Threat Behavior Analysis via Deep Learning
链接: https://arxiv.org/abs/2512.07827
期刊: cs.LG updates on arXiv.org
标题: 机器学习力场集成学习
英文标题: Ensemble Learning of Machine Learning Force Fields
链接: https://arxiv.org/abs/2403.17507
期刊: cs.LG updates on arXiv.org
标题: TimeAutoDiff：用于生成、插补、预测和异构时间序列表格数据时间变化元数据条件化的统一框架
英文标题: TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
链接: https://arxiv.org/abs/2406.16028
期刊: cs.LG updates on arXiv.org
标题: 掌握人工智能：大数据、深度学习与大型语言模型的演变 – 从基础到前沿技术的AutoML
英文标题: Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models – AutoML from Basics to State-of-the-Art Techniques
链接: https://arxiv.org/abs/2410.09596
期刊: cs.LG updates on arXiv.org
标题: 学习在哪里学习：科学机器学习训练数据分布优化
英文标题: Learning where to learn: Training data distribution optimization for scientific machine learning
链接: https://arxiv.org/abs/2505.21626
期刊: cs.LG updates on arXiv.org
标题: 利用ftrace的function_graph追踪器特性进行机器学习：加密检测案例分析
英文标题: Exploiting ftrace’s function_graph Tracer Features for Machine Learning: A Case Study on Encryption Detection
链接: https://arxiv.org/abs/2512.04590
期刊: cs.LG updates on arXiv.org
标题: 深度学习和机器学习：推动大数据分析与管理的便捷开胃菜
英文标题: Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
链接: https://arxiv.org/abs/2409.17120
期刊: cs.LG updates on arXiv.org
标题: 深度学习与机器学习：通过工具、技术和应用推动大数据分析与管理的进步，揭示人工智能的潜力
英文标题: Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI’s Potential Through Tools, Techniques, and Applications
链接: https://arxiv.org/abs/2410.01268
期刊: cs.LG updates on arXiv.org
标题: 机器学习中的中微子-核截面
英文标题: Machine Learning Neutrino-Nucleus Cross Sections
链接: https://arxiv.org/abs/2412.16303
期刊: cs.LG updates on arXiv.org
标题: 生成式机器学习在多变量角度模拟中的应用
英文标题: Generative Machine Learning for Multivariate Angular Simulation
链接: https://arxiv.org/abs/2504.21505