Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse Glioma by Minh-Khang Le, Masataka Kawai, Kenta Masui, Takashi Komori, Takakazu Kawamata, Yoshihiro Muragaki, Tomohiro Inoue, Ippei Tahara, Kazunari Kasai, Tetsuo Kondo

“…Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. …”
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MaxEnt-Based Predictions of Suitable Potential Distribution of <i>Leymus secalinus</i> Under Current and Future Climate Change by Shimeng Zhao, Zongxian Zhang, Changyu Gao, Yiding Dong, Zeyao Jing, Lixia Du, Xiangyang Hou

“…The MaxEnt model was used herein to predict the current suitable distribution area of <i>L. secalinus</i> and the suitable distribution of <i>L. secalinus</i> under different SSP scenarios (SSP1-26, SSP2-45, and SSP5-85) for future climate. …”
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Improved Risk Prediction of Acute Myocardial Infarction in Patients With Stable Coronary Artery Disease Using an Amino Acid-Assisted Model by Yi-Jing Zhao, Yong Li, Feng-Xiang Wang, Hao Lv, Yaoyao Qu, Lian-Wen Qi, Pingxi Xiao

“…Developing a reliable model to predict AMI occurrence in these patients holds the potential to expedite early diagnosis and intervention. …”
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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

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Risk prediction models for dysphagia after radiotherapy among patients with head and neck cancer: a systematic review and meta-analysis by You Pu, Jin Yang, Lian Shui, Qianlong Tang, Xianqin Zhang, Guangguo Liu

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BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization by Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang

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Waist Circumference, Body Mass Index, and Other Measures of Adiposity in Predicting Cardiovascular Disease Risk Factors among Peruvian Adults by K. M. Knowles, L. L. Paiva, S. E. Sanchez, L. Revilla, T. Lopez, M. B. Yasuda, N. D. Yanez, B. Gelaye, M. A. Williams

“…To examine the extent to which measures of adiposity can be used to predict selected components of metabolic syndrome (MetS) and elevated C-reactive protein (CRP). …”
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Early prediction of in-hospital mortality in patients with congestive heart failure in intensive care unit: a retrospective observational cohort study by Tao Huang, Rui Yang, Jun Lyu, Didi Han, Fengshuo Xu, Shuai Zheng, Luming Zhang, Haiyan Yin

“…Calibration plots demonstrated that the predicted results are in good agreement with the observed results. …”
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Pyroptosis-Related Signature Predicts the Progression of Ulcerative Colitis and Colitis-Associated Colorectal Cancer as well as the Anti-TNF Therapeutic Response by Yumei Ning, Kun Lin, Jun Fang, Xiaojia Chen, Xinyi Hu, Lan Liu, Qiu Zhao, Haizhou Wang, Fan Wang

“…These findings can improve our understanding of PRGs in UC and provide new markers for predicting the occurrence of active UC or CAC and the treatment of UC.…”
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A Simple Nomogram to Predict Contrast-Induced Acute Kidney Injury in Patients with Congestive Heart Failure Undergoing Coronary Angiography by Li Lei, Yibo He, Zhaodong Guo, Bowen Liu, Jin Liu, Zhiqiang Nie, Guanzhong Chen, Liwei Liu, Mengfei Lin, Wenhe Yan, Shiqun Chen, Chen Jiyan, Yong Liu

“…Patients with congestive heart failure (CHF) are vulnerable to contrast-induced kidney injury (CI-AKI), but few prediction models are currently available. Therefore, we aimed to establish a simple nomogram for CI-AKI risk assessment for patients with CHF undergoing coronary angiography. …”
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Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms by Masoumeh Moterased, Seyed Mojtaba Sajadi, Ali Davari, Mohammad Reza Zali

“…Consistent results demonstrate that the proposed method can consider a promisingly successful predictive model of entrepreneurial exit with excellent predictive performance. …”
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Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus by Bothina B. M. Gaafar, Sumaia A. Ali, Khoubieb Ali Abd-elrahman, Yassir A. Almofti

“…For T cells, MHC-I binding prediction tools showed multiple epitopes that interacted strongly with BoLA alleles. …”
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Prediction Model of Soybean Meal Protein Content Based on Low-field Nuclear Magnetic Resonance and Near-infrared Data Fusion by REN Guo-wei, ZHENG Sheng-guo, LU Bing, LU Dao-li, CHEN Bin

“…A prediction model for soybean meal protein content was developed using low-field NMR and near-infrared spectral data fusion for rapid protein content detection during soybean meal production. …”
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Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks by Xueying Yang, Fabao Xu, Han Yu, Zhongwen Li, Xuechen Yu, Zhiwen Li, Li Zhang, Jie Liu, Shaopeng Wang, Shaopeng Liu, Jiaming Hong, Jianqiao Li

“…Therefore, it's imperative to predict prognosis and formulate personalized therapeutic regimens. …”
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Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks by Peter Appiahene, Yaw Marfo Missah, Ussiph Najim

“…The results suggested that the decision tree (DT) and its C5.0 algorithm provided the best predictive model. It had 100% accuracy in predicting the 134 holdout sample dataset (30% banks) and a P value of 0.00. …”
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Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes by Luis Octavio González Salcedo, Aydee Patricia Guerrero Zúñiga, Silvio Delvasto Arjona, Adrián Luis Ernesto Will

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Exploring the Main Effect of e-Banking on the Banking Industry Concentration Degree on Predicting the Future of the Banking Industry: A Case Study by Zohreh Ghasemi, Mozhdeh Afshar Kermani, Tofigh Allahviranloo

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Comment on Article “Postoperative Serum Hyperamylasemia Adds Sequential Value to the Fistula Risk Score in Predicting Pancreatic Fistula After Pancreatoduodenectomy” by Ziqiang Du, MD, Rui Du, MD, Yanfei Yang, MD

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A novel predictive model for the compressive strength development in class G cement slurries at different temperatures, retarder, and salt concentrations by Ali Barati Harooni, Hasan Maroof, Maryam Abdollahi Khoshmardan, Omid Pourali

“…In addition, a rate-constant model was also developed for the prediction of the measured compressive strength profile of cement slurries. …”
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Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations by Magdalyn E. Elkin, Xingquan Zhu

“…Abstract Predicting novel mutations has long-lasting impacts on life science research. …”
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