Comparison of Two Creatinine-Based Equations for Predicting Decline in Renal Function in Type 2 Diabetic Patients with Nephropathy in a Korean Population by Eun Young Lee, Young-Mi Lee, Kyu Hun Choi, Hyun Chul Lee, Byung-Wan Lee, Beom Seok Kim

“…To compare two creatinine-based estimated glomerular filtration rate (eGFR) equations, the chronic kidney disease epidemiology collaboration (CKD-EPI) and the modification of diet in renal disease (MDRD), for predicting the risk of CKD progression in type 2 diabetic patients with nephropathy. …”
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Predictive factors of extremity graft occlusion after endovascular repair of abdominal aortic aneurysm: A 13-year single center experience by Kaptaniderya Tayfur, Ferhat Borulu, Melih Urkmez, Alpaslan Telli

“…Anatomical measurements were evaluated in terms of their predictive power for graft leg thrombosis by Receiver Operating Characteristic (ROC) analysis. …”
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Integrated analysis of M2 macrophage-related gene prognostic model and single-cell sequence to predict immunotherapy response in lung adenocarcinoma by Meifang Li, Zhiping Wang, Bin Huang, Yanyun Lai, Meng Zhang, Cheng Lin

“…We aimed to construct a prognostic signature to predict the immunotherapy efficacy and prognosis in LUAD.MethodsGSE26939 and GSE19188 chips were downloaded from the Gene Expression Omnibus (GEO). …”
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Impact of shear wave elastography and attenuation imaging for predicting life-threatening event in patients with metabolic dysfunction-associated steatotic liver disease by Yudai Fujiwara, Hidekatsu Kuroda, Tamami Abe, Tomoaki Nagasawa, Ippeki Nakaya, Asami Ito, Takuya Watanabe, Kenji Yusa, Hiroki Sato, Akiko Suzuki, Kei Endo, Yuichi Yoshida, Takayoshi Oikawa, Keisuke Kakisaka, Kei Sawara, Toshifumi Tada, Akio Miyasaka, Takuma Oguri, Naohisa Kamiyama, Takayuki Matsumoto

“…Abstract We aimed to elucidate the value of ultrasound-based biomarkers for predicting the major life-threatening events in metabolic dysfunction-associated steatotic liver disease (MASLD). …”
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The Real-Time Prediction of Cracks and Wrinkles in Sheet Metal Forming According to Changes in Shape and Position of Drawbeads Based on a Digital Twin by Sarang Yi, Daeil Hyun, Seokmoo Hong

“…The machine learning models were trained using finite element analysis data corresponding to the position and bead force of drawbeads, enabling the real-time prediction of wrinkles and crack occurrences. The accuracy of the machine learning models was demonstrated, achieving 100% accuracy in determining crack occurrence, with a mean squared error (MSE) of 0.141 for wrinkle prediction and 0.038 for crack prediction, thereby ensuring the accuracy of the forming prediction model based on drawbead applications. …”
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The variability and predictability of summer southwest monsoon intensity measurement index across mainland indochina: from local synoptic to large scale perspectives by Kyaw Than Oo, Yinshuo Dong, Kazora Jonah

“…Additionally, significant associations with El Niño Southern Oscillation (ENSO) indices and the eastern Indian Ocean suggest potential teleconnections, which can enhance predictive capabilities. This improved index is crucial for operational climate centers to monitor and predict monsoon behavior effectively, ultimately aiding in the forecasting and managing the MSwM’s socio-economic impacts.…”
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Predictive modeling and optimization of tubular distiller operation using response surface methodology under silver nanomaterial infused PCM thickness variations by W.M. Farouk, Ayman Hoballah, Z.M. Omara, Fadl A. Essa

“…This study introduces a novel mathematical model to predict freshwater production and temperature profiles within a tubular solar still (TSS) under varying conditions. …”
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Identification of a New m6A Regulator-Related Methylation Signature for Predicting the Prognosis and Immune Microenvironment of Patients with Pancreatic Cancer by Tianle Zou, Dan Shi, Weiwei Wang, Guoyong Chen, Xianbin Zhang, Yu Tian, Peng Gong

“…ROC curves showed that our prognosis signature had a good prediction ability on patient survival. Immune assays suggested a different immune infiltration pattern in patients with high- and low-risk scores. …”
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CAN WE PREDICT INCIPIENT DIABETES MELLITUS IN PATIENTS WITH TRANSFUSION DEPENDENT β-THALASSEMIA (β-TDT) REFERRED WITH A HISTORY OF PREDIABETES? by Vincenzo De Sanctis, Ashraf Soliman, Shahina Daar, Ploutarchos Tzoulis, Christos Kattamis

“…Objective: This retrospective observational study describes the glycemic trajectories and evaluates predictive indices of β-cell function and insulin sensitivity/resistance in β-TDT patients with prediabetes, both in a steady state and during 3-h oral glucose tolerance test (OGTT), in order to identify patients at high risk for incipient diabetes. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…Building upon all the strengths of each model, this approach improves the prediction of classification and provides a balanced and highly robust classification system. …”
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Predictive value of the systemic immune–inflammation index for outcomes in large artery occlusion treated with mechanical thrombectomy—a single-center study by Ao Qian, Longyi Zheng, Hui He, Jia Duan, Shuang Tang, Wenli Xing

“…This study aims to investigate the predictive value of admission SII for outcomes of large artery occlusion treated with mechanical thrombectomy (MT).MethodsThis retrospective study was conducted at Suining Central Hospital, Sichuan, China. …”
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Spectral domain optical coherence tomography findings predicting visual outcome in patients with rhegmatogenous retinal detachment undergoing retinal detachment surgery by Pankti Shah, Tejas H Desai

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Estimating the Risk of Maternal Death at Admission: A Predictive Model from a 5-Year Case Reference Study in Northern Uganda by Gasthony Alobo, Cristina Reverzani, Laura Sarno, Barbara Giordani, Luigi Greco

“…We aimed at exploring the main factors affecting maternal death and designing a predictive model for estimation of the risk of dying at admission at a major referral hospital in northern Uganda. …”
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A Neural Correlate of Predicted and Actual Reward-Value Information in Monkey Pedunculopontine Tegmental and Dorsal Raphe Nucleus during Saccade Tasks by Ken-ichi Okada, Kae Nakamura, Yasushi Kobayashi

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Predictive method for poultry carcass visceral dimensions using 3D point cloud and Genetic Algorithm-based wavelet neural network by Zhengwei Zhu, Yan Chen, Lu Cai, Jinzhou Yang, Ke Wen, Jingjing Bao, Zhigang Hu, Dandan Fu

“…By comparing the prediction results and analyzing Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) of the six models, it was determined that the GA-WNN model had the best prediction results. …”
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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

Subjects: “…subcellular localization prediction…”
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Neutrophil Lymphocyte Ratio, Platelet Lymphocyte Ratio and Mean Platelet Volume; which one is More Predictive in the Diagnosis of Pelvic Inflammatory Disease? by Kerem Doğa Seçkin, Mehmet Fatih Karslı, Burak Yücel, Burak Özköse, Doğukan Yıldırım, Berna Aslan Çetin, Halil Aslan

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Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes by Chanwoo Park, Nan Jiang, Taesung Park

“…Most T2D risk prediction models have used SNPs in combination with demographic variables. …”
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USING THE METHODS OF SYSTEMS BIOLOGY FOR PREDICTING PERSPECTIVE TARGET GENES TO SELECT C3 AND C4 CEREALS FOR OXIDATIVE STRESS RESISTANCE by A. V. Doroshkov, A. V. Bobrovskikh

“…We have shown that the integration of evolutionary characteristics and expression data represents a promising approach to predict target genes for plant breeding.…”
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Solid Predominant Histology and High Podoplanin Expression in Cancer-Associated Fibroblast Predict Primary Resistance to Osimertinib in EGFR-Mutated Lung Adenocarcinoma by Yuji Uehara, MD, Hiroki Izumi, MD, PhD, Tetsuro Taki, MD, PhD, Tetsuya Sakai, MD, PhD, Hibiki Udagawa, MD, PhD, Eri Sugiyama, MD, PhD, Shigeki Umemura, MD, PhD, Yoshitaka Zenke, MD, PhD, Shingo Matsumoto, MD, PhD, Kiyotaka Yoh, MD, PhD, Shoko Kubota, MD, PhD, Keiju Aokage, MD, PhD, Naoya Sakamoto, MD, PhD, Shingo Sakashita, MD, PhD, Motohiro Kojima, MD, PhD, Michiko Nagamine, MD, PhD, Yukio Hosomi, MD, PhD, Masahiro Tsuboi, MD, PhD, Koichi Goto, MD, PhD, Genichiro Ishii, MD, PhD

“…Conclusions: Solid predominant histology and high-podoplanin expression in CAFs predicted osimertinib resistance, potentially guiding the selection of patients for more intensive treatments beyond osimertinib monotherapy.…”
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