From Prediction to Precision: Explainable AI-Driven Insights for Targeted Treatment in Equine Colic by Bekir Cetintav, Ahmet Yalcin

“…This study integrates machine learning and explainable artificial intelligence (XAI) to predict survival outcomes in horses with colic, using clinical, procedural, and diagnostic data. …”
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A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound by An Wei, Yan Zou, Zhen-Hua Tang, Feng Guo, Yan Zhou

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Predicting deamidation and isomerization sites in therapeutic antibodies using structure-based in silico approaches by David Hoffmann, Joschka Bauer, Markus Kossner, Andrew Henry, Anne R. Karow-Zwick, Giuseppe Licari

“…In this study, we introduce a novel in silico approach for predicting deamidation and isomerization sites in therapeutic antibodies by analyzing the structural environment surrounding asparagine and aspartate residues. …”
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Predictions of Acute Relapse of Crohn’s Disease: A Study of Host Nonspecific Immune Reactivity by E René

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Auditory steady state response can predict declining EF in healthy elderly individuals by Xiaopeng Mao, Xiaopeng Mao, Nelly Shenton, Sadasivan Puthusserypady, Martin Johannes Lauritzen, Krisztina Benedek

“…However, the limited predictive accuracy of ML models emphasizes the need for further refinement to enhance their clinical applicability.…”
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Changes in Predicted Muscle Coordination with Subject-Specific Muscle Parameters for Individuals after Stroke by Brian A. Knarr, Darcy S. Reisman, Stuart A. Binder-Macleod, Jill S. Higginson

“…The objective of this study was to examine the effect of subject-specific muscle force and activation deficits on predicted muscle coordination when using musculoskeletal models for individuals after stroke. …”
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A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes by Chang Gong, Jennifer J. Linderman, Denise Kirschner

“…We capture various time courses of TB progression, including latency and reactivation. The model predicts that there is no steady state; rather it is a continuous process of progressing to active disease over differing time periods. …”
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Performance Prediction of Building Integrated Photovoltaic System Using Hybrid Deep Learning Algorithm by Manivannan Ragupathi, Rengaraj Ramasubbu

“…However, a model built for a certain time scale may improve performance at that time scale but cannot be utilized to make predictions at other time scales. Here, we demonstrate how to use the multitask learning algorithm to create a multitime scale model for solar BIPV forecasting. …”
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Analysis and Prediction of Compressive Properties for Steel Fiber-and-Nanosilica-Reinforced Crumb Rubber Concrete by Danying Gao, Tao Zhang, Yihong Wang, Yiming Kong, Dawei Li, Yang Meng

“…A simple predicted model of the stress-strain curve for SFNS-CRC was proposed, which considers the effect of steel fibers and nanosilica.…”
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Predicting Factors of Drop Out Counseling Process in University Psychological Counseling and Guidance Center by Omer OZER, Ahmet ALTINOK

“…Objective: Objective: The purpose of this study is to evaluate the predicting factors the drop out the counseling process. …”
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Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning by Ghanshyam Tejani, Behnam Sadaghat, Sumit Kumar

“…These results demonstrate the precision and reliability of the NBAR model and signify its effectiveness in predicting soil stabilization outcomes. Overall, this approach offers a promising way to accurately predict the MDD of soil stabilization mixtures in various engineering applications. …”
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Analysis and Prediction of Stable Height of Capillary Water Rising under Unsaturated Subgrade Soil by Jianfeng Cao, Zhihao Mao, Liqiang Hu, Yunfei Dai, Yu Luo, Wenwei Zhou

“…It involves the analysis of the factors affecting the capillary water stability height of the coarse-grained soil and fine-grained soil filler as well as establishing the corresponding prediction model. The comparative analysis with the experimental tracking results and related literature shows that the prediction model developed in this study is highly accurate and can be applied for the analysis of the balanced moisture condition of the highway subgrade.…”
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Study and development of methods for predicting the physical and mechanical properties of thin wire and metal cord by E. S. Eltsova, Yu. L. Bobarikin, Yu. V. Martyanov

“…Predicting the physical and mechanical properties of thin wire and metal cord will ensure an increase in the quality of latuned thin wire, a reduction in the number and time of technological pauses, and increase the manufacturability of metal cord twisting. …”
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Detection and Prediction of Internal Damage in the Ancient Timber Structure Based on Optimal Combined Model by Ziyi Wang, Donghui Ma, Wei Qian, Wei Wang, Xiaodong Guo, Qingfeng Xu, Junhong Huan, Zhongwei Gao

“…The results show that the combined forecasting model based on the IOWA operator is more effective in predicting compared to a single detection method and other combined forecasting models. …”
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Image experience prediction for historic districts using a CNN-transformer fusion model by Youping Teng, Weijia Wang

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Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery by Yonghe Chen, Dan Liu, Jian Xiao, Jun Xiang, Aihong Liu, Shi Chen, Junjie Liu, Xiansheng Hu, Junsheng Peng

“…Since this nomogram exhibited satisfactory and stable predictive power, it can be inferred that this is a practical tool for predicting AGC patient survival after NAC and radical surgery.…”
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Composites Based on Polypropylene and Talc: Processing Procedure and Prediction Behavior by Using Mathematical Models by Laiza Marinho Racca, Elen Beatriz Acordi Vasques Pacheco, Luiz Carlos Bertolino, Cristiane Xavier da Silva Campos, Monica Calixto de Andrade, Ana Maria Furtado de Sousa, Ana Lúcia Nazareth da Silva

“…SEM analyses evaluated the composite morphologies and different mathematical models were used as a tool on prediction of mechanical behaviour of the materials. …”
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Prediction of Europium Retention in Perovskite: Potential Candidates for an Engineering Barrier in the Disposal of Radioactive Waste by Huemantzin B. Ortiz-Oliveros, Rosa Ma. Flores Espinosa, Pedro Ávila-Pérez, Daniel Cruz-Gonzalez, Noureddine Ouerfelli

“…In this work, different pseudo-order and thermodynamic models were studied to achieve the prediction of the sorption of Eu3+ (chemical analogous for actinides) in tausonite. …”
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Unraveling the threads of depressive symptoms: Enhancing predictions of depression among university junior students by Said El-Ashker, Abdulmajeed Alharbi, Somaya Mahmoud, Feras Al-Awad, Ahlam Alghamdi, Nouf Alaqeel, Mohammed Al-Hariri

“…Objectives: The aim of this study is to investigate the prevalence and predictors of depression among preparatory (first) year university students using a predictive test developed from general health and well-being questionnaires. …”
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Real-time prediction system for prevention of acute renal failure based on AI model by Shih-Chang Hsia, Szu-Hong Wang, Liang-Fu Chen, Bo-An Ko

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