Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships by Feipeng Duan, Yisheng Li, Meizhen Zhao, Tianyong Hu, Xinquan Pan, Yue Feng, Fang Ma, Shuqi Qiu, Yiqing Zheng

“…Meranzin, baicalin, baicalein, chrysin-7-O-β-D-glucuronide, and wogonoside were predicted to be the anti-inflammatory active ingredient groups of QJHTT.…”
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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

“…<italic>Goal:</italic> Machine learning (ML) technologies that leverage large-scale patient data are promising tools predicting disease evolution in individual patients. …”
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Disulfidptosis-related gene SLC3A2: a novel prognostic biomarker in nasopharyngeal carcinoma and head and neck squamous cell carcinoma by Xinyi Zhang, Yiqi Lin, Liang Shi, Aixia Zhai, Chao Wu, Qian-Ying Zhu

“…DiscussionIn conclusion, these results indicated a strong association between SLC3A2 and progression in both NPC and HNSC, suggesting it as a promising biomarker for predicting adverse prognosis in NPC and HNSC patients.…”
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Modeling TEC Maps Over China Using Particle Swarm Optimization Neural Networks and Long‐Term Ground‐Based GPS, COSMIC, and Fengyun Data by Shuangshuang Shi, Kefei Zhang, Jiaqi Shi, Andong Hu, Dongsheng Zhao, Zhongchao Shi, Peng Sun, Huajing Wu, Suqin Wu

“…Results show that TEC predicted from the new model agrees better with the reference TEC than the BP‐NN and IRI‐2016 models. …”
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Prognostic role of aetiological agent vs. clinical pattern in candidates to lead extraction for cardiac implantable electronic device infections by Giulia Massaro, Renato Pascale, Mauro Biffi, Cristian Martignani, Matteo Ziacchi, Andrea Simeone, Raimondo Pittorru, Manuel De Lazzari, Federico Migliore, Igor Diemberger

“…The developed BOP2D score presented a 0.807 AUC (95%CI 0.703–0.910, p < 0.001) and a good predictive value (OR 2.355, 95%CI 1.754–3.162; p < 0.001), and was associated with a progressive increase in mortality with a score > 2. …”
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I-SPY COVID adaptive platform trial for COVID-19 acute respiratory failure: rationale, design and operations by Carolyn S Calfee, Michael A Matthay, Paul Henderson, Martin Eklund, Laura J Esserman, Chirag Patel, Angela Haczku, Michelle Jung, Tony Oliver, Alessio Crippa, Andrea Discacciati, Kathleen D Liu, Ellen L Burnham, Nuala J Meyer, Fady A Youssef, Derek W Russell, Julie Lang, Kevin W Gibbs, Daniel C Files, Sheetal Gandotra, Purnema Madahar, Nathan K Cobb, Timothy E Albertson, Rajiv Sonti, John P Reilly, Alejandra Jauregui, Iván García, Luis E Huerta, Daniel Clark Files, Neil R Aggarwal, Adam L Asare, Jeremy R Beitler, Paul A Berger, George Cimino, Melissa H Coleman, Paul T Henderson, Caroline A G Ittner, Kashif T Khan, Jonathan L Koff, Mary LaRose, Joe Levitt, Ruixiao Lu, Jeffrey D McKeehan, Karl W Thomas, Aaron M Mittel, Albert F Yen, Alexis E Suarez, Alexis L Serra, Alpesh N Amin, Amanda Rosen, Amy L Dzierba, Anna D Barker, Ariel R Weisman, Brian M Daniel, Brian M Morrissey, Caroline AG Ittner, Chayse Jones, Christina Creel-Bulos, Christina M Angelucci, Diana Ng, Fredy Chaparro-Rojas, Gavin H Harris, Harsh V Barot, Heny Su, Jacqueline B Sutter, Jamal Dodin, Jerry S Lee, John Kazianis, Joshua F Detelich, Julie E Lang, Justin Muir, Katarzyna Gosek, Katherine L Nugent, Kimberly Yee, Laura G Rodrigues, Laura R Macias, Lindsey A Orr, Lindsie L Boerger, Lissette Rosario-Remigio, Lucia Kufa, Maged Tanios, Maria B Reyes, Max W Adelman, Maya M Juarez, Michelle Meyers, Mitchell P Sternlieb, Neil Aggarwal, Nilam S Mangalmurti, Patrice Jones, Paul L Saban, Peter S Marshall, Philiip A Robinson, Philip Yang, Rahul Nair, Richard Anthony Lee, Richard G Wunderink, Romina Wahab, Roxana A Lupu, Santhi I Kumar, Sara C Auld, Scott Fields, Se Fum Wong, Skyler J Pearson, Spencer Whealon, Timothy F Obermiller, Anita Darmanian, John Schicchi, Esmeralda Martinez, Farjad Sarafian, Julie Nguyen, Bethany Weiler-Lisowski, Jaime Wyatt, Daniel Blevins, Marylee Melendrez, Brenda Lopez, Hiwet Tzehaie, Omowunmi Amosu, Austin Simonson, Erin Hardy, Brett Lindgren, Gregory Peterfreund, Leigha Landreth, Lisa Parks

“…The Investigation of Serial studies to Predict Your Therapeutic Response with Imaging And moLecular Analysis (ISPY COVID-19 trial) was designed and implemented in early 2020 to evaluate investigational agents rapidly and simultaneously on a phase 2 adaptive platform. …”
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Exosomal miR-21-5p from glioma associated mesenchymal stem cells promotes the progression and glycolysis of glioblastoma via PDHA1 by Yanbin Zhang, Peng Lv, Qing Zhang, Wei Xiang, Xiaobing Jiang, Zijun Guo, Tao Zhang

“…The upstream miRNA of PDHA1 was predicted and the relationship between miR-21-5p and PDHA1 in GAMSC-EXO and its effect on GBM glucose metabolism was investigated. …”
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Identification of the RHD novel allele c. 801+2T>G and study of its effect on RhD phenotype in vitro by JIA Shuangshuang, WEN Jizhi, WEI Ling, ZHANG Runqing, LUO Guangping, JI Yanli

“…By using an in vitro micro gene splicing system, the mRNA splicing results were detected and analyzed using agarose and capillary electrophoresis to predict their impact on RhD phenotype. [Results] The serological test results showed that the patient's blood type was RhD-negative, but the anti-D absorption-elution test was positive, indicating a Del phenotype. …”
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Prognostic significance of programmed cell death 1 expression on CD8+T cells in various cancers: a systematic review and meta-analysis by Zhiyong Wan, Meng Cui, Jia Yang, Dan Liao, Junliang Chen, Fanmin Li, Yin Xiang, Zhiwei Cui, Yang Yang

“…The expression PD-1+CD8+ T cells in cancer patients tended to predict poor overall survival (OS) (HR: 1.379, 95%CI: 1.084-1.753, p= 0.009), and unfavorable disease-free survival(DFS) (HR: 1.468, 95%CI: 0.931-2.316, p=0.099), though it did not reach statistical significance. …”
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SVR model and OLCI images reveal a declining trend in phycocyanin levels in typical lakes across Northeast China by Changchun Song, Yipei Xu, Chong Fang, Chi Zhang, Zhuohang Xin, Zhihong Liu

“…Phycocyanin (PC), a distinctive pigment found in cyanobacteria, plays a pivotal role in detecting and predicting harmful cyanobacterial blooms. A novel segmented PC concentration remote sensing inversion model was developed using the support vector regression (SVR) algorithm and Sentinel-3 OLCI data to examine the spatiotemporal variations in PC concentrations across 11 representative lakes in Northeast China. …”
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Short-term survivors with brain metastases have modest benefits from focal and systemic therapies and remain frequent despite improving treatment landscape by M. Czogalla, J. Stöhr, N. Gleim, K. Papsdorf, S. Klagges, P. Hambsch, T. Kuhnt, F. Nägler, A. Barrantes-Freer, J. Wach, N.H. Nicolay, C. Seidel

“…In 75 % of patients, the ds-GPA score predicted short-term survival. Use of resection with focal radiotherapy (p < 0.001) and systemic treatment (p < 0.001) appeared prognostically favourable compared to whole brain radiotherapy (WBRT) alone. …”
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Characterization of Hazelnut Trees in Open Field Through High-Resolution UAV-Based Imagery and Vegetation Indices by Maurizio Morisio, Emanuela Noris, Chiara Pagliarani, Stefano Pavone, Amedeo Moine, José Doumet, Luca Ardito

“…Three supervised binary classification algorithms were used to build models capable of predicting the status of the tree quadrant, using the VIs as predictors. …”
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Investigating the causal effects of childhood and adulthood adiposity on later life mental health outcome: a Mendelian randomization study by Sweta Pathak, Tom G. Richardson, Eleanor Sanderson, Bjørn Olav Åsvold, Laxmi Bhatta, Ben M. Brumpton

“…Results Univariable MR did not indicate genetically predicted effects of childhood body size with later life anxiety (beta = − 0.05, 95% CI = − 0.13, 0.02) and depression (OR = 1.06, 95% CI = 0.94, 1.20). …”
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SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden by Bethany K. Hughes, Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, Cleo L. Bishop

“…Results Using scRNA-seq of both 2D and 3D deeply senescent fibroblasts, the model predicts intra-experimental fibroblast senescence to a high degree of accuracy (> 99% true positives). …”
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Functional outcomes following injury in pediatric patients without traumatic brain injury by Ryo Yamamoto, Lillian Liao, Keitaro Yajima, Akira Endo, Kazuma Yamakawa, Junichi Sasaki

“…In age-specific analyses, physical disability before injury strongly predicted worse functional outcomes in toddlers/preschoolers, whereas higher AIS in the chest and lower systolic blood pressure on arrival were additional predictors of dependent living among adolescents. …”
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Tear metabolomics reveals novel potential biomarkers in epithelial herpes simplex keratitis by Jinyu Zhang, Zhenning Wu, Yangqi Zhang, Kaili Wu, Xiaoyi Li, Shiyou Zhou

“…To assess the potential utility of tear biomarkers, a predictive model was developed combining 4 metabolites (AUC = 0.998 [95%CI: 0.975, 1]): D-proline, linoelaidic acid, plantagonine, and phosphorylcholine. …”
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Triglyceride-glucose index is associated with microcirculatory resistance in patients with type 2 diabetes and STEMI undergoing primary PCI by Guoyu Wang, Cen Xu, Jian Wang, Zhimei Teng, Xiang Sha, Kai Xu, Ruzhu Wang, Li Zhu

“…The area under the curve for the TyG index predicting high AMR was 0.650 (95% confidence interval: 0.57–0.73, p < 0.001), with a cut-off value of 9.57. …”
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A global Corynebacterium diphtheriae genomic framework sheds light on current diphtheria reemergence by Hennart, Mélanie, Crestani, Chiara, Bridel, Sébastien, Armatys, Nathalie, Brémont, Sylvie, Carmi-Leroy, Annick, Landier, Annie, Passet, Virginie, Fonteneau, Laure, Vaux, Sophie, Toubiana, Julie, Badell, Edgar, Brisse, Sylvain

“…The global dataset comprised 245 sublineages and 33.9% tox-positive genomes, with diphtOscan predicting non-toxigenicity in 16.0% of these. 12% of the global isolates, and 43.6% of France-2022 ones, were multidrug resistant. …”
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Associated Factors of the Need for Mechanical Ventilation Following Traumatic Injuries; a Registry-Based Study on 2,708 Cases in Iran by Zahra Ramezani, Vali Baigi, Mohammadreza Zafarghandi, Vafa Rahimi-Movaghar, Reza Farahmand-Rad, Akram Zolfaghari Sadrabad, Seyed-Mohammad Piri, Mahgol Sadat Hassan Zadeh Tabatabaei, Khatereh Naghdi, Payman Salamati

“…This study aimed to evaluate the predictive factors of need for mechanical ventilation (MV) following traumatic injuries. …”
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Zellweger syndrome; identification of mutations in PEX19 and PEX26 gene in Saudi families by Abdulfatah M. Alayoubi, Ambreen Ijaz, Abdul Wali, Jamil A. Hashmi, Azizah Alharbi, Sulman Basit

“…This nonsense mutation was predicted to cause premature termination (p.Gln123*). …”
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