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The following term was not found in PubMed: YS2022011
Page 1
Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease.
Zhu Z, Zhao S, Li J, Wang Y, Xu L, Jia Y, Li Z, Li W, Chen G, Wu X. Zhu Z, et al. Respir Res. 2024 Apr 18;25(1):167. doi: 10.1186/s12931-024-02793-3. Respir Res. 2024. PMID: 38637823 Free PMC article.
This study is NOT a clinical trial, it does not report the results of a health care intervention on human participants....
This study is NOT a clinical trial, it does not report the results of a health care intervention on human participants....
Construction and validation of a DNN-based biological age and its influencing factors in the China Kadoorie Biobank.
Huang Y, Da L, Dong Y, Li Z, Liu Y, Li Z, Wu X, Li W. Huang Y, et al. Geroscience. 2025 Jun;47(3):4241-4252. doi: 10.1007/s11357-025-01577-x. Epub 2025 Mar 7. Geroscience. 2025. PMID: 40050560 Free PMC article.
Biological age is an important measure of aging that reflects an individual's physical health and is linked to various diseases. Current prediction models are still limited in precision, and the risk factors for accelerated aging remain underexplored. ...
Biological age is an important measure of aging that reflects an individual's physical health and is linked to various diseases. Curr …
Pan-cancer analysis shapes the understanding of cancer biology and medicine.
Cen X, Lan Y, Zou J, Chen R, Hu C, Tong Y, Zhang C, Chen J, Wang Y, Zhou R, He W, Lu T, Dubee F, Jovic D, Dong W, Gao Q, Ma M, Lu Y, Xue Y, Cheng X, Li Y, Yang H. Cen X, et al. Cancer Commun (Lond). 2025 Mar 22. doi: 10.1002/cac2.70008. Online ahead of print. Cancer Commun (Lond). 2025. PMID: 40120098 Review.
However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan-cancer research and explored their potential to drive future advancements in oncology....
However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. Thi …
Improving Lung Cancer Risk Prediction Using Machine Learning: A Comparative Analysis of Stacking Models and Traditional Approaches.
Tu H, Zhao Y, Cui J, Lu W, Sun G, Xu X, Hu Q, Hu K, Wu M, Wu X. Tu H, et al. Cancers (Basel). 2025 May 13;17(10):1651. doi: 10.3390/cancers17101651. Cancers (Basel). 2025. PMID: 40427148 Free PMC article.
CONCLUSIONS: Integrating machine learning models into lung cancer screening programs can significantly enhance early detection efforts. Machine learning approaches, such as LightGBM and stacking, offer improved accuracy and predictive power over traditional models. ...
CONCLUSIONS: Integrating machine learning models into lung cancer screening programs can significantly enhance early detection effort …