ZJU index as a predictive biomarker of gestational diabetes mellitus: a prospective cohort analysis by Ziyi Xu, Xuewei Li, Hui Wang, Liuyang Xu, Changhui Li

“…This prospective investigation examined first-trimester ZJU index associations with both gestational diabetes mellitus (GDM) risk and nonalcoholic fatty liver disease (NAFLD) during pregnancy, while simultaneously evaluating the relationships between lipid profiles, liver enzymes, and GDM development.MethodsWe conducted analyses using multivariable logistic regression and restricted cubic splines (RCS) to assess associations of the ZJU index, liver enzymes, and blood lipids with GDM, as well as the association between the ZJU index and NAFLD. …”
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TUMOR MARKERS СА 125 AND НЕ 4 AS PROGNOSTIC AND PREDICTIVE FACTORS IN BORDERLINE OVARIAN TUMORS by A. N. Vasilyev, S. E. Krasilnikov, V. Е. Voitsitsky, A. V. Gerasimov, A. P. Kulidzhanyan, Е. V. Babayants, V. G. Sisakyan, М. I. Krylyshkin, N. A. Afanasyeva, A. S. Mansurova

“…Materials and methods. Thirty patients with borderline ovarian tumors were retrospectively studied. …”
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Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling by Kaida Cai, Xiaofang Yang, Zhengyan Wang, Wenzhi Fu, Hanwen Liu, Fatemeh Mahmoudi

“…This study evaluates the predictive performance of the Cox proportional hazards model and advanced machine learning techniques, such as extreme gradient boosting (XGBoost), gradient boosting machine (GBM), and random survival forests (RSF), in forecasting survival outcomes for sepsis patients. …”
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Construction and validation of a predictive model for lymph node metastasis in patients with papillary thyroid carcinoma by Yanhong Hao, Yanjing Zhang, Yuan Su, Liping Liu

“…ObjectiveTo study the occurrence of lymph node metastasis in patients with papillary thyroid carcinoma (PTC) and construct a predictive model to assess its predictive performance.MethodsWe retrospectively analyzed the data of 432 patients with PTC. …”
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The role of the SOX2 gene in cervical cancer: focus on ferroptosis and construction of a predictive model by Shenping Liu, Zhi Wei, Huiqing Ding

“…Conclusion This study underscores the critical role of SOX2 in orchestrating the ferroptosis pathway in cervical cancer and presents a novel prognostic framework. The SOX2-centric predictive model represents a significant advancement in prognosis evaluation, offering a gateway to personalized treatment for gynaecologic cancers.…”
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Predictive Value of <i>STC2</i> Gene Expression in Chemotherapy Response in Breast Cancer by Juan P. Muñoz, Nicolás Lampe-Huenul

“…Despite its critical role in cellular adaptation to stress, the potential of <i>STC2</i> as a biomarker for predicting chemotherapy response has not been evaluated. …”
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Predictive Value of the White Blood Cells Count for the Prognosis of Hospitalized Patients with Acute Aortic Dissection by Yuzhen Suolang, Yizhu Gao, Changli Sun, Shu Zhang

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In vitro differential diagnosis of clavus and verruca by a predictive model generated from electrical impedance. by Chien-Ya Hung, Pei-Lun Sun, Shu-Jen Chiang, Fu-Shan Jaw

“…<h4>Materials and methods</h4>We used 29 clavus and 28 verruca lesions. …”
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Muller’s muscle fibrosis is a possible predictive factor in the outcome of Muller’s muscle-conjunctival resection by Hassan Asadigandomani, Mohammad Taher Rajabi, Navid Mohsenzadeh Kermani, Zohreh Nozarian, Mohammadreza Ghaedamini, Seyed Mohsen Rafizadeh

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Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis by Zixin Shi, Linjun Huang, Haolin Wang

“…Objective This study introduces a framework that integrates clustering analysis with dynamic classifier selection (DCS) techniques to enhance pediatric DILI prediction. The proposed method addresses challenges such as patient heterogeneity and class imbalance, while optimizing predictive performance to support clinical decision-making. …”
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Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling. by Hykoush A Asaturyan, Nicolas Basty, Marjola Thanaj, Brandon Whitcher, E Louise Thomas, Jimmy D Bell

“…<h4>Methods and findings</h4>We evaluated FLI+ on a dataset from the UK Biobank containing 28,796 individual estimates of proton density fat fraction derived from magnetic resonance imaging across normal to severe levels and interpolated to align with the original FLI range. …”
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A predictive model based on serum bicarbonate for cardiovascular events after initiation of peritoneal dialysis by Dashan Li, Rongxue Liu, Xiangming Qi, Yonggui Wu

“…The aim of the study was to evaluate serum bicarbonate as a risk factor and derive a model of new CVE.Methods A predictive model was established by performing an observational study in 187 PD patients obtained from the First Affiliated Hospital of Anhui Medical University. …”
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FACTORS OF LIFE QUALITY IMPROVEMENT AFTER HEART TRANSPLANTATION: PREDICTIVE SIGNIFICANCE OF CARDIOPULMONARY EXERCISE TEST by O. V. Kamenskaya, I. Yu. Loginova, D. V. Doronin, A. M. Chernyavsky, A. M. Karaskov

“…Aim. Evaluation of prognostic significance of the parameters of cardiopulmonary exercise test in life quality improvement for the post-cardiac transplantation patients.Material and methods. …”
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Predictive biomarkers in the gut microbiome and metabolome for severe acute radiation enteritis in cervical cancer radiotherapy by Chen-ying Ma, Jing Zhao, Xiao-ting Xu, Xiao-lan He, Song-bing Qin, Ju-ying Zhou

“…Currently, there is no noninvasive diagnostic method for SARE. This study aimed to identify gut microbiomics- and metabolomics-based signatures, and assess their predictive value for SARE. …”
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Predictive model using systemic inflammation markers to assess neoadjuvant chemotherapy efficacy in breast cancer by Yulu Sun, Yinan Guan, Hao Yu, Yin Zhang, Jinqiu Tao, Weijie Zhang, Yongzhong Yao

“…Survival analysis was performed using the Kaplan-Meier method and log-rank test. A predictive model for pCR was constructed using machine learning algorithms.ResultsAmong the 209 breast cancer patients, 29 achieved pCR. …”
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Predictive value of myositis antibodies: role of semiquantitative classification and positivity for more than one autoantibody by Anne M Kerola, Arno Hänninen, Annukka Pietikäinen, Julia Barantseva, Annaleena Pajander

“…Objectives We assessed the positive predictive value (PPV) of 17 myositis antibodies for having a diagnosis of myositis and other myositis-spectrum conditions (interstitial lung disease (ILD), connective tissue diseases (CTD), malignancy) and evaluated the impact of semiquantitative classification and antibody overlap on the PPVs.Materials and methods We retrospectively identified 1068 individuals ≥18 years who tested positive for ≥1 antibody in the EUROLINE myositis line blot assay or positive for anti-3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) in an ELISA-based test between 2015 and 2020 in 15 out of the 20 hospital districts in Finland. …”
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Circulating Apelin-17 and Elabela Levels as Predictive Biomarkers of Neurodegeneration and Cognitive Decline in Alzheimer’s Disease by Shaimaa Imad Ali, Alabbas Majeed

“…Apelin-17 and Elabela, endogenous ligands of the apelin receptor (APJ), have emerged as neuroprotective peptides with potential biomarker utility. Objective: To evaluate circulating Apelin-17 and Elabela levels as predictive biomarkers of neurodegeneration and cognitive impairment in Alzheimer’s disease. …”
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Predictive value of MSCT perfusion imaging parameters for poor prognosis in patients with osteonecrosis of the femoral head by Fengyu WU, Heqing WANG, Jianjun ZHOU

“…Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of MSCT perfusion imaging parameters for the prognosis of ONFH patients. …”
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Predictive model for initial response to first-line treatment in children with infantile epileptic spasms syndrome by Wenrong Ge, Lin Wan, Zong Wang, Lijun Fu, Guang Yang

“…However, few children with IECSS have undergone clinically accessible tests to determine the aetiology. Methods Using a dataset from our previously published research, we constructed and tested a predictive model for the initial response to first-line treatment in children with IESS. …”
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Major stress as a predictive value in the setting of thyroid nodule development: A prospective study by Ebrahim Mohammadi, Neda Valizadeh, Reza Hatami Novi

“…In this case-control study, we intended to evaluate demographic and environmental factors involved in TNs to determine the values predicting the risk of TN incidence. …”
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