深度学习在生物医药领域的应用
本数据库通过收集和整理最新科研文献信息而得，供了解领域前沿进展之用。数据源自 PubMed Data ，每日自动更新（使用关键词“['deep learning']”过滤），已收录文献数量参见 统计表格。表格内容由 GPT 自动整理，可能存在错误或遗漏，请使用时务必注意核实！
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当前共找到 47264 篇文献，本页显示第 1 - 20 篇。
| 序号 | 推送日期 | 文章 | 类型 | 简述 | 创新点 | 不足 | 研究目的 | 研究对象 | 领域 | 病种 | 技术 | 模型 | 数据类型 | 样本量 | 算法框架 | 模型架构 | 性能指标 | 计算资源 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2026-06-06 |
Identification of LAMP2 as the direct target of aloperine derivatives for degrading PD-L1 through the lysosomal pathway based on deep learning model
2026-Sep-15, Bioorganic chemistry
IF:4.5Q1
DOI:10.1016/j.bioorg.2026.110056
PMID:42242017
|
研究论文 | 基于深度学习模型鉴定LAMP2为苦参碱衍生物通过溶酶体途径降解PD-L1的直接靶点 | 首次利用深度学习模型DeepDTAGen预测并验证苦参碱衍生物7a的直接靶点为LAMP2，结合计算与实验策略快速发现靶点 | NA | 鉴定苦参碱衍生物通过溶酶体途径降解PD-L1的直接功能靶点 | 苦参碱衍生物及PD-L1降解机制 | 机器学习 | 肿瘤免疫 | 分子对接、分子动力学模拟 | DeepDTAGen | 文本 | 30种苦参碱衍生物 | NA | DeepDTAGen | K值（5.58 μM） | NA |
| 2 | 2026-07-26 |
Discovery of novel xanthine oxidase inhibitors using deep learning-based composite molecular fingerprint: Screening, bioactivity assessment and binding behavior analysis
2026-Sep-15, Bioorganic chemistry
IF:4.5Q1
DOI:10.1016/j.bioorg.2026.110031
PMID:42259146
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 3 | 2026-07-26 |
Accelerated development of 4-HPPD inhibitors using a hybrid deep learning approach with Bayesian-guided reinforcement learning
2026-Sep-15, Bioorganic chemistry
IF:4.5Q1
DOI:10.1016/j.bioorg.2026.110125
PMID:42348944
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 4 | 2026-07-26 |
Computer Vision and Deep Learning in Small Animal Cytology and Slide Review
2026-Sep, The Veterinary clinics of North America. Small animal practice
DOI:10.1016/j.cvsm.2026.03.019
PMID:42150941
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 5 | 2026-07-26 |
An Introduction to Artificial Intelligence and Machine Learning for Veterinary Professionals
2026-Sep, The Veterinary clinics of North America. Small animal practice
DOI:10.1016/j.cvsm.2026.04.001
PMID:42150939
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 6 | 2026-02-08 |
Interpretable deep learning model of circulating genomics for quantitative survival prediction in advanced non-small cell lung cancer
2026-Aug, Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
IF:2.8Q2
DOI:10.1007/s12094-026-04220-z
PMID:41649698
|
研究论文 | 本研究开发了一种可解释的深度学习模型，用于晚期非小细胞肺癌患者的定量生存预测 | 整合了多模态特征（包括ctDNA状态、cfDNA浓度和基因突变等）的DeepSurv模型，相比单一ctDNA或cfDNA指标，显著提升了生存预测的准确性，并利用SHAP方法增强了模型的可解释性 | 研究基于回顾性数据，且仅使用了两个特定的ctDNA测序平台（MSK-ACCESS和ctDx Lung），可能限制了模型的普适性 | 开发一种可解释的深度学习模型，以定量预测晚期非小细胞肺癌患者的生存结局 | 晚期非小细胞肺癌患者 | 机器学习 | 肺癌 | 超深度ctDNA测序（MSK-ACCESS和ctDx Lung） | DeepSurv | 基因组数据、临床病理特征 | 1373名晚期非小细胞肺癌患者（发现队列1012人，验证队列361人） | NA | DeepSurv | 时间依赖性曲线下面积（AUC）、风险比（HR） | NA |
| 7 | 2026-07-26 |
From deep learning-based toxicity prediction to theoretical simulation-based mechanism analysis: A case study of 33 typical pesticides and their transformation products
2026-Aug-01, Journal of hazardous materials
IF:12.2Q1
DOI:10.1016/j.jhazmat.2026.142624
PMID:42269292
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 8 | 2026-07-26 |
Deep learning-assisted chrysotile asbestos screening in soil: A hierarchical statistical approach to error propagation
2026-Aug-01, Journal of hazardous materials
IF:12.2Q1
DOI:10.1016/j.jhazmat.2026.142934
PMID:42435689
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 9 | 2026-07-26 |
Artificial Intelligence Techniques in Cardiac Neuromodulation: Mechanisms, Applications, and Pathways to Clinical Translation
2026-Aug, Journal of arrhythmia
IF:2.2Q2
DOI:10.1002/joa3.70434
PMID:42499589
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 10 | 2026-07-26 |
Automated whole-heart volumetrics and haemodynamics from 4D flow CMR magnitude images: development and validation of a deep learning model
2026-Aug, European heart journal. Imaging methods and practice
DOI:10.1093/ehjimp/qyag125
PMID:42500508
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 11 | 2026-07-26 |
Automated quality indicators for echocardiographic recordings and measurements: consequences for left ventricular global longitudinal strain
2026-Aug, European heart journal. Imaging methods and practice
DOI:10.1093/ehjimp/qyag124
PMID:42500507
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 12 | 2026-07-26 |
Combined molecular fingerprint and descriptor features enable classical machine learning to match deep learning performance across the Tox21 toxicity panel
2026-Jul-25, Toxicology mechanisms and methods
IF:2.8Q2
DOI:10.1080/15376516.2026.2703006
PMID:42438047
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 13 | 2026-07-26 |
DiffShape: Decoupling Shape Priors with Conditional Diffusion for Robust Brain Extraction
2026-Jul-24, IEEE transactions on medical imaging
IF:8.9Q1
DOI:10.1109/TMI.2026.3716658
PMID:42497038
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 14 | 2026-07-26 |
Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network With Domain-Adversarial Training
2026-Jul-24, IEEE transactions on neural networks and learning systems
IF:10.2Q1
DOI:10.1109/TNNLS.2026.3714047
PMID:42497053
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 15 | 2026-07-26 |
Smartphone-Based Brunnstrom Stage Classification of Hemiparetic Gait via Skeleton-Attention-LSTM-Inception Network
2026-Jul-24, IEEE transactions on bio-medical engineering
DOI:10.1109/TBME.2026.3713910
PMID:42497051
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 16 | 2026-07-26 |
An Interpretable Machine Learning Model for Continuous Prediction of Acute Kidney Injury in Critically Ill Patients With Atrial Fibrillation
2026-Jul-24, IEEE transactions on bio-medical engineering
DOI:10.1109/TBME.2026.3716727
PMID:42497050
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 17 | 2026-07-26 |
Direct Reconstruction of High-Fidelity Electrocardiogram Signals From Vector-Based PDF Files With Integrated Deep Learning for Multiparameter Estimation: Retrospective Methodological Study
2026-Jul-24, JMIR formative research
IF:2.0Q4
DOI:10.2196/80597
PMID:42497366
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 18 | 2026-07-26 |
R-R Interval Histogram-Based Deep Learning for 3-Class Atrial Fibrillation Screening in Garment-Type Wearable Holter Electrocardiogram Monitoring: Algorithm Development and Validation Study
2026-Jul-24, JMIR medical informatics
IF:3.1Q2
DOI:10.2196/91960
PMID:42497361
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 19 | 2026-07-26 |
Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy Study
2026-Jul-24, JMIR medical informatics
IF:3.1Q2
DOI:10.2196/81942
PMID:42497363
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| 20 | 2026-07-26 |
UniPert-G2CP bridges genetic and chemical screens from molecular representation to phenotype modeling
2026-Jul-24, Cell
IF:45.5Q1
DOI:10.1016/j.cell.2026.06.005
PMID:42497867
|
NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |