Zhou J, Du W, Liu J, Peng L
Clin Respir J. 2025; 19(3):e70059.
PMID: 40035153
PMC: 11876996.
DOI: 10.1111/crj.70059.
Zhu L, Zhang Y, Chen X, Li Y, Pan H, Wang Y
Int J Genomics. 2025; 2025:8282590.
PMID: 40026444
PMC: 11871981.
DOI: 10.1155/ijog/8282590.
Hei C, Li X, Wang R, Peng J, Liu P, Dong X
Sci Rep. 2025; 15(1):7035.
PMID: 40016488
PMC: 11868568.
DOI: 10.1038/s41598-024-83555-5.
Ma K, Wu T, Guo W, Wang J, Ming Q, Zhu J
Trop Med Infect Dis. 2025; 10(2).
PMID: 39998055
PMC: 11860278.
DOI: 10.3390/tropicalmed10020051.
Zhou Z, Zhang Y, Zhou Y, Gu J, Li J, Shao J
PeerJ. 2025; 13:e18911.
PMID: 39995998
PMC: 11849515.
DOI: 10.7717/peerj.18911.
Mitochondrial metabolism-related features guiding precision subtyping and prognosis in breast cancer, revealing FADS2 as a novel therapeutic target.
Kang Y, Meng Y, Jin J, Dai Y, Li F, Chen N
Transl Oncol. 2025; 54:102330.
PMID: 39986190
PMC: 11904520.
DOI: 10.1016/j.tranon.2025.102330.
Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery.
Ma W, Liu X, Yu R, Song J, Hou L, Guo Y
Front Genet. 2025; 16:1483493.
PMID: 39981259
PMC: 11839613.
DOI: 10.3389/fgene.2025.1483493.
Development of a nomogram predicting perineural invasion risk and assessment of the prognostic value of perineural invasion in colon cancer: a population study based on the Surveillance, Epidemiology, and End Results database.
Zheng Z, Sun X
Transl Cancer Res. 2025; 14(1):141-158.
PMID: 39974388
PMC: 11833362.
DOI: 10.21037/tcr-24-1030.
A diagnostic model for sepsis using an integrated machine learning framework approach and its therapeutic drug discovery.
Zhang W, Shi H, Peng J
BMC Infect Dis. 2025; 25(1):219.
PMID: 39953444
PMC: 11827343.
DOI: 10.1186/s12879-025-10616-z.
Development of a predictive model for severe peripartum hemorrhage in placenta accreta spectrum cases under neuraxial anesthesia: a multicenter retrospective analysis.
Li Y, Li L, Song X, Meng F, Zhang M, Li Y
Ther Adv Reprod Health. 2025; 19:26334941251317644.
PMID: 39944151
PMC: 11815799.
DOI: 10.1177/26334941251317644.
The role of CTGF and MFG-E8 in the prognosis assessment of SCAP: a study combining machine learning and nomogram analysis.
Lin T, Wan H, Ming J, Liang Y, Ran L, Lu J
Front Immunol. 2025; 16:1446415.
PMID: 39917305
PMC: 11799283.
DOI: 10.3389/fimmu.2025.1446415.
Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.
Wu X, Guo B, Chang X, Yang Y, Liu Q, Liu J
Front Immunol. 2025; 15:1427626.
PMID: 39916957
PMC: 11798943.
DOI: 10.3389/fimmu.2024.1427626.
Development and validation of a hyperlipidemia risk prediction model for middle-aged and older adult Chinese using 2015 CHARLS data.
Zhang L, Hou S, Zhao F, Wang T, Jiang Y, Zhou X
Front Public Health. 2025; 13:1420596.
PMID: 39906294
PMC: 11790438.
DOI: 10.3389/fpubh.2025.1420596.
Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study.
Li N, Liu C, Lu Z, Wu W, Zhang F, Qiu L
BMC Gastroenterol. 2025; 25(1):39.
PMID: 39875811
PMC: 11773756.
DOI: 10.1186/s12876-025-03598-4.
Predictive model for assessing the prognosis of rhabdomyolysis patients in the intensive care unit.
Xiong Y, Shi H, Wang J, Gu Q, Song Y, Kong W
Front Med (Lausanne). 2025; 11():1518129.
PMID: 39867923
PMC: 11759279.
DOI: 10.3389/fmed.2024.1518129.
Construction and Validation of a Major Depression Risk Predictive Model for Patients with Coronary Heart Disease: Insights from NHANES 2005-2018.
Zhang L, Hou S, Zhao F, Wang T, Jiang Y, Zhou X
Rev Cardiovasc Med. 2025; 26(1):25998.
PMID: 39867200
PMC: 11759964.
DOI: 10.31083/RCM25998.
Doctor, what is my risk of bleeding after cardiac surgery while on combined anticoagulant with antiplatelet therapy? A validated nomogram for risk assessment.
Han H, Xu H, Zhang J, Zhang W, Yang Y, Wang X
Front Pharmacol. 2025; 15():1528390.
PMID: 39840117
PMC: 11747104.
DOI: 10.3389/fphar.2024.1528390.
Cohort-based nomogram for forensic prediction of SCD: a single-center pilot study.
Liao Z, Chen G, Cao X, Liu L, Li J, Zhu B
Forensic Sci Med Pathol. 2025; .
PMID: 39797964
DOI: 10.1007/s12024-024-00920-6.
A nomogram for predicting prognostic risk factors in individuals with poor grade aneurysmal subarachnoid hemorrhage: a retrospective study.
Song L, Oppong M, Dammann P, Wrede K, Ahmadipour Y, Gumus M
Neurosurg Rev. 2025; 48(1):25.
PMID: 39775311
PMC: 11706874.
DOI: 10.1007/s10143-025-03188-8.
Nomogram Based on HRV for Predicting the Therapeutic Effects of Orthostatic Training in Children with Vasovagal Syncope.
Du X, Liu P, Xiang D, Zhang C, Du J, Jin H
Children (Basel). 2025; 11(12.
PMID: 39767896
PMC: 11674548.
DOI: 10.3390/children11121467.
