Bioinformatics analysis combined with experimental validation reveals the biological role of the ILK gene in prostate cancer by Xiao-xiang Yu, Yi Liu, Rong-jiang Luo, Zi-xuan Song, Wen-kai Chen, Zeng-mi Mo, Feng-jing Wang

“…Moreover, we conducted Mfuzz expression pattern clustering analysis, gene set enrichment analysis (GSEA), immune function analysis, transcription factor (TF) analysis, and drug prediction. Results 544 significant genes were identified by WGCNA. …”
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Exploring the potential of palm oil plantation waste for local communities using mixed methods by A. Ilhami, T. Hidayat, Riandi .

“…Utilizing secondary data obtained from the Central Statistics Agency, the research calculates the volume of waste generated by smallholder oil palm plantations and forecasts the quantity of palm oil waste. The prediction method uses the time series modeler method with the help of a statistical package for the social sciences 23. …”
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Distribution and Evolution of Chorus Waves Modeled by a Neural Network: The Importance of Imbalanced Regression by Xiangning Chu, Jacob Bortnik, Wen Li, Xiao‐Chen Shen, Qianli Ma, Donglai Ma, David Malaspina, Sheng Huang

“…The IR‐based chorus model will improve radiation belt prediction by providing chorus wave distributions, especially storm‐time strong chorus. …”
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Physical activities and breast cancer: a Mendelian randomization study by Lishan Ding, Qingliang Chen, Hao Liang, Meng Shen, Ming Zheng, Zhaojun Li

“…Two-sample MR analysis revealed a genetic prediction indicating that walking for pleasure was associated with decreased risk of ER+ BC (odds ratio (OR) = 0.302, 95% CI = 0.105–0.872, p = 0.027), while other physical activities were not significantly correlated with BC, ER+ BC and ER– BC. …”
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Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid S... by Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth

“…Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. …”
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Identification of circulating Tfh/Th subsets as a biomarker of developed hospital-acquired pneumonia by Yuan Peng, Tao Tao, Ni-Wen Yu, Chenyang Xu, Cheng Chen

“…Accordingly, the combination of Tfh/Th and PCT could serve as a more effective predictive marker for HAP deterioration and survival prediction. …”
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The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort by Martin Pariès, Stéphanie Bougeard, Aida Eslami, Zhonglin Li, Michel Laviolette, Louis-Philippe Boulet, Evelyne Vigneau, Yohan Bossé

“…A potential near-term clinical application is to calculate polygenic risk score (PRS) to improve disease risk prediction. The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear. …”
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Effector proteins of Funneliformis mosseae BR221: unravelling plant-fungal interactions through reference-based transcriptome analysis, in vitro validation, and protein‒protein doc... by Pratima Vasistha, Pushplata Prasad Singh, Divya Srivastava, Leena Johny, Sadhana Shukla

“…Results A total of 163 effector proteins were identified in F. mosseae isolate BR221, of these, 79.14% are extracellular effectors and 5.5% are predicted cytoplasmic effectors. In silico prediction using a pathogen-host interaction database suggested four of the 163 effectors could be crucial in establishing AM fungi-host interactions. …”
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Quantifying the Uncertainty in CME Kinematics Derived From Geometric Modeling of Heliospheric Imager Data by L. Barnard, M. J. Owens, C. J. Scott, M. Lockwood, C. A. deKoning, T. Amerstorfer, J. Hinterreiter, C. Möstl, J. A. Davies, P. Riley

“…In general, geometric models are biased towards predicting CME apex distances that are larger than the true value. …”
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Risk Factors for Contralateral Occult Papillary Thyroid Carcinoma in Patients with Clinical Unilateral Papillary Thyroid Carcinoma: A Case-Control Study by Liu Yihao, Li Shuo, Xi Pu, Wang Zipeng, Sun Hanlin, Chang Qungang, Wang Yongfei, Yin Detao

“…The forest plot was plotted to visualize the prediction factors from the output of the multivariate regression analysis. …”
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Identifying MTHFD1 and LGALS4 as Potential Therapeutic Targets in Prostate Cancer Through Multi-Omics Mendelian Randomization Analysis by Huan Han, Hanwen Su, Zhihua Lv, Chengliang Zhu, Jingtao Huang

“…In contrast, MTHFD1was expressed in both tumor and microenvironmental cells and was associated with poor survival. Drug target prediction suggested that there are no currently approved drugs specifically targeting MTHFD1 and LGALS4. …”
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The Clinical Importance of Optic Nerve Sheath Diameter in Patients with Traumatic Brain Injury: Preliminary Report by Burcu AVCI OZBALIK, Tugba BINGOL TANRIVERDI, Hafize Gulsah OZCAN, Melek GURA CELIK

“…In cases of severe TBI, the prediction of prognosis is essential. The enlargement of the optic nerve sheath diameter (ONSD) shows an increased intracranial pressure and is associated with poor outcomes. …”
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Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning by Shuxian Pan, Zibing Wang

“…However, Immunotherapy-related adverse reactions are still a major challenge faced by tumor immunotherapy, so it is urgent to establish new methods to effectively predict immunotherapy-related adverse reactions.ObjectiveMulti-machine learning model were constructed to screen the risk factors for irAEs in ICIs for the treatment of HBV-related hepatocellular and build a prediction model for the occurrence of clinical IRAEs.MethodsData from 274 hepatitis B virus positive tumor patients who received PD-1 or/and CTLA4 inhibitor treatment and had immune cell detection results were collected from Henan Cancer Hospital for retrospective analysis. …”
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Identification and Validation of the Pyroptosis-Related Hub Gene Signature and the Associated Regulation Axis in Diabetic Keratopathy by Yi Cui, Li Wang, Wentao Liang, Li Huang, Shuting Zhuang, Hong Shi, Nuo Xu, Jianzhang Hu

“…An integrated bioinformatics pipeline, including differentially expressed gene (DEG) identification, enrichment analysis, protein-protein interaction (PPI) network, coexpression, drug prediction, and immune deconvolution analyses, identified hub genes and key drivers in DK pathogenesis. …”
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Assessment of Blasting-Induced Ground Vibration in an Open-Pit Mine under Different Rock Properties by Zhi-qiang Yin, Zu-xiang Hu, Ze-di Wei, Guang-ming Zhao, Ma Hai-feng, Zhuo Zhang, Rui-min Feng

“…Therefore, accurately predicting the blasting vibration is necessary to ensure slope stability. …”
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Transcript Changes of Placental Tissue in Gestational Diabetes Mellitus Based on Transcriptome Sequencing by Sun Y, Wang Y, Liu C, Yang J, Li Q, Zhao F

“…KEGG pathway enrichment analysis indicated the involvement of DEGs in signalling pathways related to PI3K-Akt signaling pathway and ECM-receptor interaction. qRT-PCR validation of five randomly selected DEGs confirmed consistent expression trends with RNA-Seq quantification.Conclusion: YWHAB, LEP, CCL21, PAPPA2, and SFN may be potential biological markers for the diagnosis of GDM, involved in the occurrence and development of GDM, and have certain value for disease prediction and diagnosis.Keywords: gestational diabetes, transcriptome sequencing, qRT-PCR validation, placental tissue, pathogenic genes…”
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Analysis of differentially expressed genes in hypertension and hypertensive cerebral hemorrhage via RNA-sequencing by Hongwu Qi, Min Qiao, Yansong Liu, Weijun Zeng, Lizhao Zhang, Hongjun Guo

“…Estimation of cell infiltration, drug prediction, and real-time qPCR (RT-qPCR) validation were performed. …”
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C. perfringens enterotoxin-claudin pore complex: Models for structure, mechanism of pore assembly and cation permeability by Santhosh Kumar Nagarajan, Joy Weber, Daniel Roderer, Jörg Piontek

“…Here, we used AlphaFold2 complex prediction, structure alignment, and molecular dynamics simulations to generate models of prepore and pore states of the CPE/claudin-4 complex. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Well-researched fields include credit rating, fraud detection, bankruptcy prediction, and volatility forecasting. In these areas, advanced models, including deep learning, have been widely employed to improve accuracy and predictive power. …”
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Development of a Bowtie Inversion Technique for Real‐Time Processing of the GOES‐16/‐17 SEISS MPS‐HI Electron Channels by A. Boudouridis, J.V. Rodriguez, B.T. Kress, B.K. Dichter, T.G. Onsager

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