A novel predictive model for estimation of cell voltage in electrochemical recovery of copper from brass: Application of gene expression programming by Ghasemi S., Vaghar S., Pourzafar M., Dehghani H., Heidarpour A.

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Compressive Strength Prediction of Alkali-Activated Slag Concretes by Using Artificial Neural Network (ANN) and Alternating Conditional Expectation (ACE) by Xiaoyu Qin, Qianmin Ma, Rongxin Guo, Zhigang Song, Zhiwei Lin, Haoxue Zhou

“…The models were employed later to predict 3 d and 28 d compressive strength of AAS concretes, respectively, and the results were validated by experimental work. …”
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Construction of a miR-15a-based risk prediction model for vascular calcification detection in patients undergoing hemodialysis by Chen Fu, Yingjie Liu, Huayu Yang, Qiaojing Liang, Wenhu Liu, Weikang Guo

“…Therefore, biomarkers that can accurately predict the onset of VC are urgently required. Our study aimed to investigate serum miR-15a levels in relation to VC and to develop a predictive model for VC in patients undergoing hemodialysis at the Beijing Friendship Hospital hemodialysis center between 1 January 2019 and 31 December 2020. …”
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Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study by Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

“…ObjectiveThis study aims to use ML to construct a predictive model of the risk of occurrence of CHF and analyze the risk of CHF from a health ecology perspective. …”
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Early Changes in Hepatitis C Virus (HCV) RNA Levels Predict Response to Interferon Treatment in Non-Cirrhotic HCV Patients by Glen Fallows, Kelly Kaita, Gerald Minuk, Faye Penner, Gerry Smart, Magdy Dawood, Barry Rosser

“…The specific aim of this study was to determine whether measurement of baseline HCV RNA or changes in HCV RNA levels ( HCV RNA) early during therapy predict response to IFN in noncirrhotic HCV patients.…”
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Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation. by Hamed Shourabizadeh, Dionne M Aleman, Louis-Martin Rousseau, Katina Zheng, Mamatha Bhat

“…Machine learning classification models, even those designed for survival predictions like random survival forest (RSF), also struggle to provide accurate long-term predictions due to class imbalance. …”
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Machine learning-based prediction of antipsychotic efficacy from brain gray matter structure in drug-naive first-episode schizophrenia by Xiaodong Guo, Enpeng Zhou, Xianghe Wang, Bingjie Huang, Tianqi Gao, Chengcheng Pu, Xin Yu

“…Abstract Predicting patient response to antipsychotic medication is a major challenge in schizophrenia treatment. …”
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Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence by Mingzhong Li, Guodong Zhang, Jianquan Xue, Yanchao Li, Shukai Tang

“…Comparisons were conducted between the predicted values and the experimental results.…”
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Development of a Predictive Model of Occult Cancer After a Venous Thromboembolism Event Using Machine Learning: The CLOVER Study by Anabel Franco-Moreno, Elena Madroñal-Cerezo, Cristina Lucía de Ancos-Aracil, Ana Isabel Farfán-Sedano, Nuria Muñoz-Rivas, José Bascuñana Morejón-Girón, José Manuel Ruiz-Giardín, Federico Álvarez-Rodríguez, Jesús Prada-Alonso, Yvonne Gala-García, Miguel Ángel Casado-Suela, Ana Bustamante-Fermosel, Nuria Alfaro-Fernández, Juan Torres-Macho

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Development and validation of a nomogram for predicting early neurological deterioration in patients with moderate traumatic brain injury: a retrospective analysis by Shen Wang, Shen Wang, Ruhai Wang, Chao Han, Haicheng Hu, Hongtao Sun, Hongtao Sun

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Clinical Features, Endoscopic Findings, and Predictive Factors for Mortality in Tissue-Invasive Gastrointestinal Cytomegalovirus Disease between Immunocompetent and Immunocompromised Patients by Panu Wetwittayakhlang, Natthapat Rujeerapaiboon, Poowadon Wetwittayakhlung, Pimsiri Sripongpun, Nannapat Pruphetkaew, Sawangpong Jandee, Naichaya Chamroonkul, Teerha Piratvisuth

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Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection by Wei Zhang, Chao Wu, Hanchen Huang, Paulina Bleu, Wini Zambare, Janet Alvarez, Lily Wang, Philip B. Paty, Paul B. Romesser, J. Joshua Smith, X. Steven Chen

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Prediction of Fatigue Life of Welded Joints Made of Fine-Grained Martensite-Bainitic S960QL Steel and Determination of Crack Origins by Tomasz Ślęzak

“…An engaged simplified model of fatigue life prediction was previously developed for mild and carbon steels. …”
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Prospective Study about the Utility of Endoscopic Ultrasound for Predicting the Safety of Endoscopic Submucosal Dissection in Early Gastric Cancer (T-HOPE 0801) by Daisuke Kikuchi, Toshiro Iizuka, Shu Hoteya, Akihiro Yamada, Tsukasa Furuhata, Satoshi Yamashita, Kaoru Domon, Masanori Nakamura, Akira Matsui, Toshifumi Mitani, Osamu Ogawa, Mitsuru Kaise

“…Preoperative EUS can predict procedure time and the incidence of muscle injury and clip use and is thus considered useful for predicting gastric ESD safety.…”
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Prediction and verification of the influence of the rs367781716 SN P on the interaction of ТАТА -binding protein with the promoter of the human АВСА9 gene by O. V. Arkova, I. A. Drachkova, T. V. Arshinova, D. A. Rasskazov, V. V. Suslov, P. M. Ponomarenko, M. P. Ponomarenko, N. A. Kolchanov, L. K. Savinkova

“…This empirical value matched the value predicted by SNP_ТАТА _Comparator within the margin of error of the measurements and calculations. …”
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Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach by Weiming Chu, Chen Chu, Zongmei Ding, Wei Guan, Shiyuan Li, Jixin Jiang, Yu Xue, Jianping Qiu, Aijun Guo

“…Features were extracted to build a predictive model for TNFRSF4, which demonstrated strong performance. …”
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Predicting the effects of introducing an emergency transport system in low-income and middle-income countries: a spatial-epidemiological modelling study by Justine Davies, Dmitri Nepogodiev, Stephen Tabiri, Richard Lilford, Srinivasa Vittal Katikireddi, Samuel I Watson, Katie Scandrett

“…The model incorporates components to both predict travel times across an area of interest under different scenarios and predict survival for emergency conditions as a function of time to receive care. …”
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Semantic analysis of test items through large language model embeddings predicts a-priori factorial structure of personality tests by Nicola Milano, Maria Luongo, Michela Ponticorvo, Davide Marocco

“…In this article, we explore the use of Large Language Models (LLMs) for predicting factor loadings in personality tests through the semantic analysis of test items. …”
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Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model by Wang Shuai, Li Yiting, Zhou Shoubin, Chen Lifei, Michael Pecht

“…Abstract Remaining useful life (RUL) prediction is a crucial aspect of the prognostics health management of lithium-ion batteries (LIBs). …”
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Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics by Saeid Asadi, Gholamali Shafabakhsh

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