Prediction of Inadequate Bowel Preparation Using Total and Segmental Colon Transit Time in Patients with Chronic Constipation: Some Different Outcomes by Chunying Zhai, Qiyang Huang, Ningli Chai, Wengang Zhang, Enqiang Linghu

“…The correlation between total and segmental CTT and BBPS was evaluated, and risk factors for predicting inadequate bowel preparation were determined. …”
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The Potential Role of sPD-L1 as a Predictive Biomarker in EGFR-Positive Non-Small-Cell Lung Cancer by Vesna Ćeriman Krstić, Dragana Jovanović, Natalija Samardžić, Milija Gajić, Jelena Kotur Stevuljević, Aleksandra Klisic, Ivan Soldatović, Damir Radončić, Marina Roksandić Milenković, Biljana Šeha, Nikola Čolić, Katarina Lukić, Milan Savić

“…This is why we need new biomarkers that can predict response to therapy. The aim of this study was to investigate whether soluble programmed cell death-ligand 1 (sPD-L1) could be a predictive biomarker in patients with epidermal growth factor receptor (EGFR)-positive NSCLC. …”
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Construction of a radiogenomic signature based on endoplasmic reticulum stress for predicting prognosis and systemic combination therapy response in hepatocellular carcinoma by Huai-Yu Wu, Shu-Ya Cao, Zheng-Gang Xu, Tian- Wang, Gu-Wei Ji, Ke Wang

“…Finally, a radiogenomic signature was used to predict the objective response rate (ORR) and overall survival (OS). …”
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Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania by Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja

“…This study focuses on modeling and predicting extreme rainfall based on data from the Southern Highlands region, the critical for rain-fed agriculture in Tanzania. …”
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Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease by Xunliang Li, Zhijuan Wang, Wenman Zhao, Rui Shi, Yuyu Zhu, Haifeng Pan, Deguang Wang

“…In addition, the LIME algorithm explains the individualized predictions.Conclusions In conclusion, our study accomplished the successful development and validation of ML models for predicting in-hospital mortality in critically ill patients with CHF combined with CKD. …”
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A Comparison of Classification Algorithms for Predicting Dis-tinctive Characteristics in Fine Aroma Cocoa Flowers Using WE-KA Modeler by Daniel Tineo, Yuriko S. Murillo, Mercedes Marín, Darwin Gomez, Victor H. Taboada, Malluri Goñas, Lenin Quiñones Huatangari

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Dynamic Changes in Parameters of Complete Blood Count Predict Disease Severity and Prognosis in Patients with COVID-19; A Prospective Study by Toktam Alirezaei, Mahdi Baratnia, Rama Bozorgmehr, Yasamansadat Keshmiri, Faezeh Ebrahimpour, Maryam Arefnia, Mohammadali Ghodsirad

“…Background: The pandemic of the coronavirus disease 2019 (COVID-19) is a major cause of death worldwide; thus, disease prediction is important. This study aimed to evaluate dynamic changes of complete blood count parameters in adult patients to predict disease severity. …”
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Comparison of Conservation Strategies for California Channel Island Oak (Quercus tomentella) Using Climate Suitability Predicted From Genomic Data by Alayna Mead, Sorel Fitz‐Gibbon, John Knapp, Victoria L. Sork

“…We compare the impact of these approaches on predicted maladaptation to climate using Gradient Forest. …”
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A Modified Strain-Rate-Dependent Spring-Mass Model for Response Prediction of Composite Laminates Subjected to Low-Velocity Impact by Qiao Zhu, Zhefeng Yu

“…A modified strain-rate dependent (SRD) spring-mass model was first developed to capture the strain rate effect on response prediction of fiber-reinforced polymer (FRP) laminates subjected to low-velocity impact (LVI). …”
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A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships by Babak Amiri, Amirali Haddadi, Kosar Farajpour Mojdehi

“…Energy stock price prediction is a pivotal challenge in financial forecasting, characterized by high volatility and complexity influenced by geopolitical factors, regulatory shifts, and sector-specific issues. …”
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Clinical utility of receptor status prediction in breast cancer and misdiagnosis identification using deep learning on hematoxylin and eosin-stained slides by Gil Shamai, Ran Schley, Alexandra Cretu, Tal Neoran, Edmond Sabo, Yoav Binenbaum, Shachar Cohen, Tal Goldman, António Polónia, Keren Drumea, Karin Stoliar, Ron Kimmel

“…Here we explore the clinical utility of predicting receptor status from digitized hematoxylin and eosin-stained (H&E) slides using machine learning trained and evaluated on a multi-institutional dataset. …”
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Does Blood Urea Nitrogen Level Predict Severity and High-Risk Endoscopic Lesions in Patients with Nonvariceal Upper Gastrointestinal Bleeding? by Khalid Al-Naamani, Nabil Alzadjali, Alan N Barkun, Carlo A Fallone

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The Model for End-Stage Liver Disease Accurately Predicts 90-Day Liver Transplant Wait-List Mortality in Atlantic Canada by Paul Douglas Renfrew, Hude Quan, Christopher James Doig, Elijah Dixon, Michele Molinari

“…OBJECTIVE: To determine the generalizability of the predictions for 90-day mortality generated by Model for End-stage Liver Disease (MELD) and the serum sodium augmented MELD (MELDNa) to Atlantic Canadian adults with end-stage liver disease awaiting liver transplantation (LT).…”
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Tacrolimus Concentration Is Effectively Predicted Using Combined Clinical and Genetic Factors in the Perioperative Period of Kidney Transplantation and Associated with Acute Rejection by Fang Cheng, Qiang Li, Zheng Cui, Zhendi Wang, Fang Zeng, Yu Zhang

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The predictive role of tertiary lymphoid structures in the prognosis and response to immunotherapy of lung cancer patients: a systematic review and meta-analysis by Xin Liu, Wu Lv, Danxue Huang, Hongxia Cui

“…Conclusion High TLS/TLS + was associated with improved survival and an improved response to neoadjuvant chemoimmunotherapy in lung cancer patients, suggesting that TLS may be a prognostic biomarker and may also be a promising predictive marker for the response to neoadjuvant chemoimmunotherapy. …”
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Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting by Juan Carlos Moreno Sánchez, Héctor Gabriel Acosta Mesa, Adrián Trueba Espinosa, Sergio Ruiz Castilla, Farid García Lamont

“…The results obtained prove the potential of RF and XGBoost-based models to accurately predict wheat yield. One of the major challenges of this research was to find the most relevant variables for predicting wheat yield. …”
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Prediction of the Binding to the Nuclear Factor NF-Kappa-B by Constituents from <i>Teucrium polium</i> L. Essential Oil by Renilson Castro de Barros, Renato Araújo da Costa, Nesrine Guenane, Boulanouar Bakchiche, Farouk Benaceur, Omer Elkiran, Suelem Daniella Pinho Farias, Vanessa Regina Silva Mota, Maria Fani Dolabela

“…GC-MS identified the major components as fenchone (31.25%), 3-carene (15.77%), cis-limonene oxide (9.77%), and myrcene (9.15%). In the in silico prediction, molecules with more than 1% abundance were selected. …”
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A cycle-based model to predict no usable blastocyst formation following cycles of in vitro fertilization in patients with normal ovarian reserve by Xue Wang, Chen-yue Dong, Cui-lian Zhang, Shao-di Zhang

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Development and validation of a predictive model for the capsule retention risk in patients undergoing magnetic-control capsule endoscopy for gastric lesions by Xiaoqian Wu, Xuexin Liu, Zhihua Hao, Qian Nie

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Evaluation of land use change, modeling and prediction of areas susceptible to physical development of the city (Case Study: Nurabad Mamasani Town) by rahman zandi, najmeh shafiei, ebrahim akbari, ali hajizadeh shikhanlo

“…To achieve this, seven effective indicators (elevation, gradient, gradient direction, lithology, distance from the fault, distance from the waterway) were used and to assess, model, and predict areas suitable for physical development of the city from Landsat satellite imagery and Models of FUZZY-AHP and Makov and Markov's predictions have been used. …”
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