Machine learning-based prognostic modeling integrating PANoptosis in head and neck squamous cell carcinoma by Chen Li, Jiajing Lu, Jialin Zhu, Tao Zhou, Qijie Shen, Bikun Huang, Qingsong Li

“…Conclusions The PANoptosis-based prognostic model offers strong predictive value for HNSCC and has potential applications in personalized treatment approaches. …”
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Novel PET imaging biomarkers as predictors of postoperative recurrence in lung adenocarcinoma by Cheng Zheng, Jiangfeng Miao, LiuWei Xu, Yujie Cai, BingShu Zheng, ZhongHua Tan, ChunFeng Sun

“…The objective of this study was to ascertain the predictive value of positron emission tomography (PET) image-derived biomarkers, specifically the normalized distances from the hot spot of radiotracer uptake to the tumor centroid (NHOC) and the tumor perimeter (NHOP), in forecasting the recurrence risk and disease-free survival (DFS) in patients with operable stage IA–IIIA lung adenocarcinoma (LUAD). …”
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Predicting the Nonunion of the Acute Osteoporotic Vertebral Compression Fracture Following Low‐Energy Injuries by Quantifying Vertebral Marrow Fat Fraction on T2‐Weighted Dixon Seq... by Pengguo Gou, Rui Wang, Zhihui Zhao, Yunguo Wang, Yuan Xue

“…The aim of this study was to assess the predictive value of fractured vertebrae MFF quantified on T2‐weighted Dixon sequences for the prediction of nonunion risk of acute OVCF. …”
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Gene X-pert Positivity and its Relation with Tuberculin Skin Test (TST) in Tuberculosis Suspected Children Visiting Tertiary Care Pediatric Center of Nepal by Tribhuwan Bhattarai, Ram Hari Chapagain, Chandra Kiran Basnet, Rasish Subedi

“…Conclusion The Mantoux test showed low sensitivity (44%) and poor positive predictive value (12.6%) compared to Gene X-pert, limiting its role in pediatric TB diagnosis. …”
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Genetic markers for knee osteoarthritis presence are not associated with disease progression - data from the IMI-APPROACH cohort. by Mieke L M Bentvelzen, Paco M J Welsing, Philippe Moingeon, Simon C Mastbergen, Margreet Kloppenburg, Francisco J Blanco, Ida K Haugen, Francis Berenbaum, Hae-Won Uh, Mylène P Jansen, Said El Bouhaddani

“…The PRS of the SNPs for knee OA presence did also not show significant predictive value for knee OA progression. Unexpectedly, nineteen different variants were associated significantly (P < 5 × 10-8) with minJSW decrease. …”
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Neonatal evaluation by extended (12 area) vs. traditional (6 area) lung ultrasound scoring (NEXT-LUS): a prospective observational study by Chinmay Chetan, Shoham Majumder, Aninda Debnath, Ravleen Kaur, Deepak Jaybhaye, Arshpuneet Kaur, Saikat Patra

“…The 12-area score required reattempts (in 9% cases) unlike the 6-area score.ConclusionIn neonates presenting with respiratory distress, 6-area and 12-area LUS scores done within 2 h of admission show good and comparable predictive value regarding need for invasive ventilation by 72 h.…”
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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

“…Exercise tolerance, peak oxygen consumption, exertion ventilatory efficacy, efficacy of oxygen consumption baseline return after exercise, by CET in severe CHF patients, have high predictive value in evaluation of probability of life quality improvement by the scale “Physical health” of SF-36 after cardiac transplantation.…”
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Reduced miR-338-3p contributes to polycystic ovarian syndrome by inhibiting proliferation and enhancing apoptosis by Lin Liang, Jie Lv, Wei Li, Chengwen Song, Ying Chen, Huafang Wei

“…Conclusions Reduced miR-338-3p levels have potential predictive value in distinguishing individuals with PCOS patients from normal population. …”
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Vertical Stratification Increases the Capacity of Morphological Traits to Predict Trophic Position in Neotropical Ants by Jésica Vieira, Karen C. Neves, Lino A. Zuanon, Heloise Gibb, Alan N. Andersen, Heraldo L. Vasconcelos

“…However, there is limited information on the predictive value of these traits in identifying the trophic position of ants. …”
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The aggregate index of systemic inflammation is positively correlated with the risk of all-cause mortality in sepsis-associated acute kidney injury by Ruming Liu, Yanqi Fan, Bokang Jia, Panshi Li

“…Abstract Sepsis is a major health problem worldwide, and sepsis-associated acute kidney injury (SA-AKI) patients usually experience severe conditions, high mortality, and long length of stay. The predictive value of aggregate index of systemic inflammation (AISI) in the prognosis of several diseases has been documented. …”
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Alteration of microRNA expression in lymphocytes in patients with first-episode schizophrenia by Jingjing Huang, Xuyi Wang

“…The prognostic value of biomarkers was analyzed using receiver operating characteristic (ROC) curves, and the predictive value of these biomarkers was also compared. …”
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Estimation of Alexithymia by Body Fat Ratio in Adolescents with Overweight and Obesity by Nazan Kaymaz, Hande Şirin, Mehmet Erdem Uzun, Özlem Kara

“…Receiver operating characteristic (ROC) analysis was performed to evaluate the predictive value of adiposity indices. Results: The study included 105 adolescents (69 females, 36 males). …”
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Analysis of risk factors for plastic bronchitis induced by Streptococcus pneumoniae in children by Xi-Xia Guo, Ya-Li Xu, Yi-Shuai Ren, Shuang-Shuang Fan, Ling-Feng Kong, Yu-Ping Xu, Duo-Duo Li, Shu-Jun Li

“…ROC curve analysis showed that mucosal erythema, secretion volume, secretion color and PCT had a certain predictive value for PB, with AUCs of 0.7, 0.77, 0.71 and 0.61, respectively. …”
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Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study by Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

“…Evaluation includes the standard metrics of precision or positive predictive value, recall or sensitivity, and F1F1F1 ConclusionsWe investigated LLM-prompting techniques for the automatic extraction of PDCM-relevant entities from scientific texts, comparing the traditional direct prompting approach with the emerging soft prompting method. …”
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Work Engagement as a Predictor of Job Performance and Satisfaction among Fashion Designers in South-South Nigeria by Rachael Adiya Wonah, Calister Lebechukwu Nwadi, Daniel Ikechukwu Nwaozuru, Tioluwa Justina Atiti

“…This research article examines the predictive value of work engagement on job performance and job satisfaction among fashion designers in South-South Nigeria, which fills an implicit gap in the regional, academic conversation. …”
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Aberrant IgA1 Glycosylation in IgA Nephropathy: A Systematic Review. by Qiang Sun, Zhenhai Zhang, Hong Zhang, Xiaorong Liu

“…<h4>Objective</h4>Galactose-deficient IgA1 was evaluated in patients with IgA nephropathy(IgAN) and controls in order to determine the predictive value of galactose-deficient IgA1 in cases of IgA nephropathy.…”
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Exploring injury profiles in professional football: evidence from a five-year study and the role of the functional movement screen by Ahmet Bayrak

“…Abstract Objective This study aimed to examine the injury profile of a professional football team over five consecutive seasons and assess the predictive value of the Functional Movement Screen (FMS), offering insights to optimize injury prevention strategies in professional football. …”
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A method for predicting postpartum depression via an ensemble neural network model by Yangyang Lin, Dongqin Zhou

“…At the same time, the Dropout mechanism of the DNN reduces the overfitting risk of the proposed model and enhances its generalization ability, enabling the proposed model to better adapt to different clinical data.ResultsThe proposed model achieved the following performance metrics on the PPD dataset: accuracy of 0.933, precision of 0.958, recall of 0.939, F1-score of 0.948, Matthews Correlation Coefficient (MCC) of 0.855, specificity of 0.923, Negative Predictive Value (NPV) of 0.889, False Positive Rate (FPR) of 0.077, and False Negative Rate (FNR) of 0.061. …”
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Global Validation of a Model to Predict Reduced Estimated GFR in People With Type 2 Diabetes Without Diagnosis of CKD by Camilla Sammut-Powell, Rose Sisk, Estefania Vazquez-Mendez, Hardik Vasnawala, Susana Goncalves, Mark Edge, Rory Cameron

“…The model with regional adjustment achieved the target sensitivity (80.5%; 95% confidence interval [CI]: 78.8%–82.3%) and demonstrated a relative improvement of 51.5% (95% CI: 48.1%–55.1%) in the positive predictive value (PPV), compared to a screen-all approach. …”
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Photon-counting CT versus energy-integrating detectors for cardiac imaging: a systematic review of evidence from in vivo human studies on image quality and radiation dose by Magnar Rønning, Elias Johansen, Albertina Rusandu

“…Abstract Background Computed tomography (CT) is central to cardiovascular diagnostics, with coronary CT angiography (CCTA) widely used for evaluating coronary artery disease (CAD) due to its high sensitivity and negative predictive value. However, conventional energy-integrating detector (EID) CT is limited by reduced contrast resolution and artifacts, especially in patients with heavy calcification or stents, which can impair diagnostic accuracy. …”
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