Reconstruction and analysis of the gene regulatory network for cell wall function in <i>Arabidopsis thaliana</i> L. leaves in response to water deficit by A. R. Volyanskaya, E. A. Antropova, U. S. Zubairova, P. S. Demenkov, A. S. Venzel, Y. L. Orlov, A. A. Makarova, T. V. Ivanisenko, T. A. Gorshkova, A. R. Aglyamova, N. A. Kolchanov, M. Chen, V. A.  Ivanisenko

“…Overall, the implemented algorithm could be used for prediction of regulatory interactions between transcription factors and target genes encoding cell wall proteins in plants.…”
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Prolonged ICU Stay in Severe and Critically-Ill COVID-19 Patients Who Received Convalescent Plasma Therapy by Bambang Pujo Semedi, Nadya Noor Ramadhania, Betty Agustina Tambunan, Siprianus Ugroseno Yudho Bintoro, Soedarsono Soedarsono, Cita Rosita Sigit Prakoeswa

“…Data were analyzed using multiple logistic regression to make prediction models of mortality, length of stay, and oxygen support device requirement. …”
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Six MicroRNA Prognostic Models for Overall Survival of Lung Adenocarcinoma by Juan Li, Xuyu Gu, Chanchan Gao, Jun Zhang

“…Conclusions. miR-195-3p, miR-5571-5p, miR-584-3p, miR-494-3p, miR-4664-3p, and miR-1293 may be used as new biomarkers for prognosis prediction of LUAD. Our results also identified a lncRNA MEG3/miR-195-3p/RAB1A/TM9SF3 regulatory axis, which may also play an important role in the progression of LUAD. …”
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Bergapten alleviates senescence of chondrocytes in osteoarthritis by YE Yuanlan, LIU Kaiwen, PAN Yiming

“…Methods‍　‍The functional targets of bergapten and the related targets of OA disease were obtained by searching Super-Pred， Swiss Target Prediction， Drug Bank. The obtained targets were intersected with Venny2.1.0, protein-protein interaction (PPI) analysis was performed using the STRING database, and molecular docking was conducted by AutoDock Vina. …”
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The Evaluation of Serum KIM-1 in a Pediatric Cohort of Renal Transplantation—A Pilot Study by Paul Luchian Aldea, Roxana Andreea Turbuleasa-Jurje, Bogdan Bulata, Dan Delean, Florin Ioan Elec, Lorena Ciumarnean, Andreea Liana Bot (Rachisan)

“…Further studies are needed in order to clarify the utility of these novel biomarkers in the prediction of graft survival in renal transplantation patients.…”
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Genome-Wide Identification of Superoxide Dismutase (<i>SOD</i>) Gene Family in <i>Cymbidium</i> Species and Functional Analysis of <i>CsSOD</i>s Under Salt Stress in <i>Cymbidium s... by Ruyi Li, Songkun Lin, Yin Yan, Yuming Chen, Linying Wang, Yuzhen Zhou, Shuling Tang, Ning Liu

“…<i>Cis</i>-element prediction showed that stress-responsive elements were identified in most <i>SOD</i>s. …”
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The Diagnosis Value of a Novel Model with 5 Circulating miRNAs for Liver Fibrosis in Patients with Chronic Hepatitis B by Qingqing Zhang, Qidi Zhang, Binghang Li, Ying Qu, Zhenghong Li, Lungen Lu, Rongzhou Li, Xiaobo Cai

“…Furthermore, the established models were compared with other prediction models to evaluate the diagnostic efficiency. …”
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Overlying strata movement law and rockburst prevention & control for fully mechanized top coal caving face in extra-thick coal seams by Hai Rong, Longyue He, Yadi Wang, Xiangzhi Wei, Shilong Wei, Suihan Yang, Jincheng Li, Linlin Chen

“…The research results provide theoretical support for roof pre-splitting and rock burst prevention of the 12,240 working face in Gengcun Coal Mine and can offer guidance for the prediction and prevention and control of rock burst risk in mines and working faces under similar conditions.…”
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The value of inflammation-related indicators in chemotherapy efficacy and disease-free survival of triple-negative breast cancer by Jie Zhu, Jiale Cheng, Yuyuan Ma, Ying Wang, Zhonghua Zou, Wenjie Wang, Haihua Shi, You Meng

“…A nomogram was used for the prediction of 1-, 2-, and 3-year disease-free survival (DFS). …”
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Genomic characterization and radiation tolerance of Naganishia kalamii sp. nov. and Cystobasidium onofrii sp. nov. from Mars 2020 mission assembly facilities by Patrick Leo, Marcus de Melo Texeira, Atul M. Chander, Nitin K. Singh, Anna C. Simpson, Andrey Yurkov, Fathi Karouia, Jason E. Stajich, Christopher E. Mason, Kasthuri Venkateswaran

“…The genomic analysis predicted proteins associated with dehydration and desiccation stress-response and the presence of genes that are directly related to osmotolerance and psychrotolerance in both novel yeasts described. …”
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Biological Safety Studies and Simultaneous Determination of Linagliptin and Synthetic Impurities by LC-PDA by Raquel Balestri Heleno Ferreira, Jonathaline Apollo Duarte, Flávio Dias Ferreira, Luis Flávio Souza de Oliveira, Michel Mansur Machado, Marcelo Donadel Malesuik, Fávero Reisdorfer Paula, Martin Steppe, Elfrides Eva Shermann Schapoval, Clésio Soldateli Paim

“…The selectivity was evidenced because the degradation products formed in stress conditions did not interfere in the determination of LGT and impurities. Toxicity prediction studies suggested toxicity potential of the impurities, which was confirmed using biological safety studies in vitro.…”
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The associations between single nucleotide polymorphisms and diabetic retinopathy risk: an umbrella review by Shaofen Huang, Yonghui Feng, Ying Sun, Jiazi Liu, Pu Wang, Jingrong Yu, Xin Su, Shasha Han, Shiqi Huang, Haokun Huang, Shiyun Chen, Ying Xu, Fangfang Zeng

“…We evaluated the methodological quality using the Measurement Tool to Assess Systematic Reviews (AMSTAR) 2.0, estimated the summary effect size by using the random effects model and calculated the 95% prediction intervals (PIs). Evidence from the included meta-analyses was graded according to established criteria as follows: convincing, highly suggestive, suggestive, weak, or not significant. …”
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Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future by Vasileios Leivaditis, Eleftherios Beltsios, Athanasios Papatriantafyllou, Konstantinos Grapatsas, Francesk Mulita, Nikolaos Kontodimopoulos, Nikolaos G. Baikoussis, Levan Tchabashvili, Konstantinos Tasios, Ioannis Maroulis, Manfred Dahm, Efstratios Koletsis

“…AI demonstrated superior predictive capabilities in risk stratification, with machine learning models outperforming traditional scoring systems in mortality and complication prediction. …”
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Oura Ring as a Tool for Ovulation Detection: Validation Analysis by Nina Thigpen, Shyamal Patel, Xi Zhang

“…MethodsThe study sample contained 1155 ovulatory menstrual cycles from 964 participants recruited from the Oura Ring commercial database. Ovulation prediction kits served as a benchmark to evaluate the performance. …”
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Protocol for a systematic review and individual participant data meta-analysis for risk factors for lung cancer in individuals with lung nodules identified by low-dose CT screening by Matthew Callister, Harry J de Koning, Robert C Rintoul, Carolyn Horst, Arjun Nair, John K Field, Christine D Berg, Samantha Quaife, Rhian Gabe, Stephen Duffy, Sam Janes, Philip AJ Crosbie, Mark M Hammer, Panos Alexandris, Michael PA Davies

“…Therefore, there is a need to identify individuals who need no interval CT between screening rounds.Methods and analysis The aim of this study is to identify risk factors predictive of LC, which are known at the time of the scan, in patients with LDCT screen-detected lung nodules. …”
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Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

“…Motivated by the success of artificial intelligence applications during the COVID-19 pandemic, this research aims to uncover the capabilities of DL in disease screening, prediction, and classification, and to derive insights that enhance the resilience, sustainability, and inclusiveness of science, technology, and innovation systems. …”
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Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…This algorithm aims to create a prediction map of habitats dominated by Quercus cerris, which is also known as the relevancy map.Through the utilisation of the Natural Numerical Network, a training accuracy of 95.24% was achieved. …”
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A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen

“…In 1936 test cases, PhenoBrain achieved an average predicted top-3 recall of 0.513 and a top-10 recall of 0.654, surpassing 13 leading prediction methods. …”
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External particle mixing influences hygroscopicity in a sub-urban area by S. Deshmukh, L. Poulain, B. Wehner, S. Henning, J.-E. Petit, P. Fombelle, P. Fombelle, O. Favez, H. Herrmann, M. Pöhlker, M. Pöhlker

“…These emphasise the large effect of external particle mixing and its influence on predicting hygroscopicity. The ZSR approach proves to be unreliable in predicting the wide growth distribution of externally mixed particles. …”
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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

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