Differentially expressed microRNAs in pre-transplant lung biopsies target immune checkpoint proteins and can predict primary graft dysfunction in lung transplantation by Vitale Miceli, Pia Ferrigno, Claudio Centi, Claudia Carcione, Gioacchin Iannolo, Valentina Agnese, Giovanna Lo Iacono, Rosa Liotta, Pier Giulio Conaldi, Massimo Pinzani, Lavinia De Monte, Alessandro Bertani

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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data: a protocol by Jiawen Deng, Hemang Yadav, Kiyan Heybati

“…Machine-learning (ML) models offer a promising approach for predicting individualised patient risks of propofol-associated hypertriglyceridemia.Methods and analysis We propose the development of an ML model aimed at predicting the risk of propofol-associated hypertriglyceridemia in ICU patients receiving IMV. …”
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A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data by M. Atzeni, G. Cappon, J. K. Quint, F. Kelly, B. Barratt, M. Vettoretti

“…The results of our study set a premise for a predictive framework in COPD exacerbations, particularly investigating the potential influence of environmental features. …”
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The Immunogenicity of HLA Class II Mismatches: The Predicted Presentation of Nonself Allo-HLA-Derived Peptide by the HLA-DR Phenotype of the Recipient Is Associated with the Formation of DSA by Vadim Jucaud

“…The binding affinities of allo-HLA-derived peptides to recipients’ HLA-DR and HLA-DQ antigens were predicted using the NetMHCIIpan 3.1 server. HLA class II mismatches were classified based on whether they induced DSA and whether self or nonself peptide was predicted to bind with highest affinity to recipients’ HLA-DR and HLA-DQ. …”
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Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome by Aiden M. C. Pike, Saeed Amal, Melissa S. Maginnis, Michael P. Wilczek

“…Within the dataset, 348 samples had an unconfirmed PML status, where 259 were predicted as No PML and 89 as PML sequences. Of the 63 sequences with unconfirmed tissue sources, eight samples were predicted as urine, 13 as blood, and 42 as cerebrospinal fluid. …”
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Plasma IL-6/IL-10 Ratio and IL-8, LDH, and HBDH Level Predict the Severity and the Risk of Death in AIDS Patients with Pneumocystis Pneumonia by Jia Sun, Junwei Su, Yirui Xie, Michael T. Yin, Ying Huang, Lijun Xu, Qihui Zhou, Biao Zhu

“…To identify blood biomarkers to predict severity and mortality in AIDS PCP patients. …”
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Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland by Yongheng Shen, Qingxia Guo, Zhenghao Liu, Yanli Shen, Yikun Jia, Yuehan Wei

“…Predicting drought and flood disaster-prone alternating zones and enhancing cropland disaster resilience are critical for agricultural water management, mitigating meteorological disaster risks, and ensuring food security. …”
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How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not by Mohammad Farris Iman Leong Bin Abdullah, Hatta Sidi, Arun Ravindran, Paula Junggar Gosse, Emily Samantha Kaunismaa, Roslyn Laurie Mainland, Norlaila Mustafa, Nurul Hazwani Hatta, Puteri Arnawati, Amelia Yasmin Zulkifli, Luke Sy-Cherng Woon

“…Longer duration of diabetes mellitus and a greater number of days of missed medications predicted poor glycaemic control, while older age and overall self-perception of QOL protected against poor glycaemic control. …”
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Application of the DEB-TKTD model with multi-omics data: Prediction of life history traits of Chinese mitten crab (Eriocheir sinensis) under different salinities by Hanzun Zhang, Shipeng Dong, Hongwei Shan, Chao Yang, Fang Wang

“…The DEB-TKTD model, informed by omics data, accurately predicts the life history traits of crabs under saline stress. …”
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The Usefulness of Soluble ST2 Concentration in Heart Failure with Reduced Ejection Fraction to Predict Severe Impairment in Exercise Capacity Assessed in Cardiopulmonary Exercise Testing by Magdalena Dudek, Marta Kałużna-Oleksy, Filip Sawczak, Agata Kukfisz, Aleksandra Soloch, Jacek Migaj, Maciej Lesiak, Ewa Straburzyńska-Migaj

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Elevated Serum Carboxymethyl-Lysine, an Advanced Glycation End Product, Predicts Severe Walking Disability in Older Women: The Women's Health and Aging Study I by Kai Sun, Richard D. Semba, Linda P. Fried, Debra A. Schaumberg, Luigi Ferrucci, Ravi Varadhan

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Correlation of artificial neural network and multi-attribute transformation: a test case to predict the effective porosity of Cretaceous sandstones of the Sembar Formation, southeast Pakistan by Furqan Aftab, Furqan Aftab, Furqan Aftab, Furqan Aftab, Mohammad Zafar, Muhammad Iqbal Hajana, John H. Shaw

“…Accurate prediction of reservoir properties through linear transformation and regression methods are successful in limited cases but are often geologically unrealistic and have no concrete theoretical foundation. …”
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

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Predictive nomogram for postoperative lower-limb deep vein thrombosis in patients undergoing endoscopic endonasal surgery during hospitalization: a retrospective cohort study by Hai Peng, Ruofei Yuan, Zhe Zhang, Ying Wang, Xingchao Wang, Bo Wang, Peng Li

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Coalbed Methane Potential Evaluation and Development Sweet Spot Prediction Based on the Analysis of Development Geological Conditions in Yangjiapo Block, Eastern Ordos Basin, China by Xinyu Fu, Yanjun Meng, Zhongcheng Li, Peng Kong, Suoliang Chang, Taotao Yan, Yanfei Liu

“…The evaluation and prediction of favorable coalbed methane (CBM) sweet spot play an important role in well location deployment and recovery prediction in CBM blocks. …”
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Letter to the editor regarding ‘Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models’ by Ning Zhuo, Gang Wang, Gang Wu

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Responses of an <i>In Vitro</i> Coculture Alveolar Model for the Prediction of Respiratory Sensitizers (ALIsens^®) Following Exposure to Skin Sensitizers and Non-Sensitizers by Sabina Burla, Aline Chary, Tommaso Serchi, Sébastien Cambier, Kristie Sullivan, Elizabeth Baker, Nikaeta Sadekar, Arno C. Gutleb

“…Furthermore, the thymic stromal lymphopoietin receptor (TSLPr) cell surface marker was confirmed as a reliable biomarker for predicting respiratory sensitization hazards.…”
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Borg’s category ratio-scale (CR-10) is useful to predict the onset of blood lactate accumulation (OBLA) in young Mexicans adults, regardless their body mass by Arnulfo Ramos Jiménez, Abraham Wall Medrano, Marco Antonio Hernández Lepe, Gregorio Chávez Treviño, Jaime Guereca Arvizuo, Rosa Patricia Hernández Torres

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Enhanced Multi‐Objective Optimization Model for Bridge Performance Assessment and Prediction, Based on Improved PCA, K‐Means Clustering, and Kaplan–Meier Survival Algorithm by Chengzhong Gui, Zhi Duan, Zuwei Huang, Zhiguo Sun, Wei Qiao, Yu Cheng

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Signatures of H3K4me3 modification predict cancer immunotherapy response and identify a new immune checkpoint-SLAMF9 by Tao Fan, Chu Xiao, Ziqin Deng, Shuofeng Li, He Tian, Yujia Zheng, Bo Zheng, Chunxiang Li, Jie He

“…This study provided a new H3K4me3-associated biomarker system to predict tumor immunotherapy response and suggested the preclinical rationale for investigating the roles of SLAMF9 in cancer immunity regulation and treatment.…”
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