Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis by Tianfei Yi, Zhenglun Yang, Peng Shen, Yan Huang

“…The ICD score exhibited positive correlations with immune cell infiltration, as verified by ESTIMATE, xCell, TIMER, MCPcounter, EPIC, and IPS algorithms. Finally, we found that hyper-immunogenicity may be sensitive to immunotherapy and certain drugs (AZD5991, Ibrutinib, Osimertinib, AGI-5198, Savolitinib, Sapitinib, AZ960, AZD3759 and Ruxolitinib), while PCI-34051 and Vorinostat showed sensitivity in patients with hypo-immunogenicity.DiscussionOur results demonstrate that ICD plays an important role in UCEC progression, suggesting that ICD-related markers could serve as potential targets for prognosis and treatment.…”
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Computational Modelling of Tunicamycin C Interaction with Potential Protein Targets: Perspectives from Inverse Docking with Molecular Dynamic Simulation by Vivash Naidoo, Ikechukwu Achilonu, Sheefa Mirza, Rodney Hull, Jeyalakshmi Kandhavelu, Marushka Soobben, Clement Penny

“…This study provides a way to explore and repurpose novel inhibitors of TK1 and PKAc and identify new therapeutic targets, which may block glycosylation in cancer treatment.…”
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An early warning system based on machine learning detects huge forest loss in Ukraine during the war by Roberto Cazzolla Gatti, Rocìo Beatriz Cortès Lobos, Michele Torresani, Duccio Rocchini

“…We employed Random Forest, a supervised machine learning classification algorithm, in conjunction with high-quality satellite imagery, to quantify the forest loss in Ukraine during the war, between 2022 and 2023. …”
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Clinical Value Evaluation of SKA3 in Endometrial Cancer and Its Promotion of Proliferation and Migration of Endometrial Cancer Cells by Xiaoxing Ding, Yue Zhang, Jiayun Qin, Yu Zhang, Jinwei Zhang

“…Spearman correlation analysis, the STRING database, Cytoscape software, and the molecular complex detection (MCODE) algorithm were employed to investigate genes associated with SKA3. …”
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Performance of two portable exhaled nitric oxide fraction devices compared to a “gold standard” chemiluminescence device by Leo Thanikkel, Andreas Vogt, Srdjan J. Micic, Nadja Delliehausen, Simon Vogt, Alexander Moeller, on behalf of the Zurich Pediatric Exhalomics Group, Srdjan Micic, Tobias Bruderer, Demet Inci, Nathan Perkins, Yvette Baumann, Rémy Bourgeois, Ronja Weber, Carmen Noser, Leo Thanikkel, Andreas Vogt, Nadja Delliehausen, Daniela Koenig, Simon Vogt, Karin Roth, Eveline Boehringer, Susanna Rieser, Elias Seidl, Alexander Moeller

“…Background Recent guidelines for the diagnosis of asthma in schoolchildren recommend the measurement of exhaled nitric oxide fraction (FENO) as part of the diagnostic algorithm. However, implementation may be hampered by the lack of FENO devices that are affordable and usable in all healthcare settings. …”
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Harnessing routine MRI for the early screening of Parkinson’s disease: a multicenter machine learning study using T2-weighted FLAIR imaging by Junyan Fu, Hongyi Chen, Chengling Xu, Zhongzheng Jia, Qingqing Lu, Haiyan Zhang, Yue Hu, Kun Lv, Jun Zhang, Daoying Geng

“…Machine learning (ML) models based on conventional T2W FLAIR images showed favorable accuracy for PD diagnosis. ML algorithm enables early screening of PD on routine T2W FLAIR sequence. …”
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The longitudinal impact of low-dose morphine on diurnal cortisol profiles in people with chronic breathlessness and chronic obstructive pulmonary disease (COPD): an exploratory stu... by Diana H. Ferreira, Richella Ryan, Nina Smyth, Angela Clow, David C. Currow

“…In a blinded dose-increment algorithm by week three, doses were 0 mg-32 mg. Participants in the RCT could elect to continue in a six-month blinded extension. …”
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The association between dietary diversity and patterns in Chinese university students with abnormal uterine bleeding: a cross-sectional study by Sha Yu, Lei Lai, Xiang Li, Lifeng Lei, Xuan Zhang, Leyi Liu, Peize Song, Xinyue Zhang, Yuxin Ma, Qianqian Lan, Yufang Liu, Yuanqun Chen, Yuping Tang, Zhiying Yu

“…According to our findings, higher dietary diversity and moderate adherence to a “low fat plant-based” dietary pattern may be significant protective factors against AUB in university students.…”
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Sex differences in shoulder acromiohumeral contact surface arc length on three-dimensional computed tomography imaging by Xi Chen, Tangzhao Liang, Chang Liu, Jianhua Ren, Shouwen Su, Xiangyu Long, Xiaopeng Yin, Yanbin Chen, Shihai Jiang, Kun Wang

“…Preoperative assessment of the AHCS arc length may be necessary for certain shoulder surgeries in the future.…”
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Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients by Ying Wang, Hexiang Wang, Na Li, Siyu Wu, Rongchao Shi, Kui Sun, Ximing Wang

“…Developing and evaluating the performance of an unsupervised clustering algorithm-based intratumoral subregion radiomics model for distinguishing between bladder muscle invasion and AJCC stage. …”
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Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases by Jinfang Song, Yi Xu, Liu Xu, Tingting Yang, Ya Chen, Changjiang Ying, Qian Lu, Tao Wang, Xiaoxing Yin

“…XG Boost algorithm model identified rs60393216 and rs1488766 as important biomarkers for clinical early warning of DKD.…”
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Postcholecystectomy syndrome: the modern approach: resolution of Advisory council by V. T. Ivashkin, A. V. Okhlobystin, D. S. Bordin, E. Ya. Seleznyova, Yu. A. Kucheryavy, Ye. V. Bystrovskaya, O. C. Vasnev, M. F. Osipenko, G. H. Musayev, Yu. O. Shulpekova

“…The Advisory council proposed algorithm for investigation and management of patients with postcholecystectomy syndrome (PCS). …”
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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…Additionally, we develop a Korean-language sentiment lexicon using an improved Term Frequency–Inverse Document Frequency (ITF-IDF) algorithm, enabling morpheme-level sentiment analysis for better sentiment extraction in Korean contexts. …”
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Coronary CT angiography: First comparison of model-based and hybrid iterative reconstruction with the reference standard invasive catheter angiography for CAD-RADS reporting by Aiste Matuleviciute-Stojanoska, Julia Sautier, Verena Bauer, Martin Nuessel, Volha Nizhnikava, Christian Stumpf, Thorsten Klink

“…Background: The purpose of this study was to compare CCTA images generated using HIR and IMR algorithm with the reference standard ICA, and to determine to what extend further improvements of IMR over HIR can be expected. …”
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ПРОГНОЗИРОВАНИЕ РИСКА НАЛИЧИЯ ВОСПАЛИТЕЛЬНЫХ ЗАБОЛЕВАНИЙ КИШЕЧНИКА У ПАЦИЕНТОВ БЕЗ ЛАБОРАТОРНЫХ ПРИЗНАКОВ ВОСПАЛЕНИЯ... by Yuliya Abbyasovna Khalitova, Yuliya Valerevna Myakisheva, Artem Viktorovich Lyamin, Alena Anatolevna Ereshchenko, Anna Vitalevna Yanchenko

“…AbstractSome patients with inflammatory bowel disease (IBD) may not have traditional criteria of inflammation: elevated CRP, ESR and leukocytosis. …”
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Innovative cone resistance and sleeve friction prediction from geophysics based on a coupled geo-statistical and machine learning process by A. Bolève, R. Eddies, M. Staring, Y. Benboudiaf, H. Pournaki, M. Nepveaux

“…A sensitivity study is also performed on input features used to train the ML algorithm to better define the optimal combination of input features for the prediction. …”
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Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors by Juan Wei, Feihong Lin, Tian Jin, Qian Yao, Sheng Wang, Di Feng, Xin Lv, Wen He

“…Early identification of those at high risk of mortality following discharge may optimize healthcare resource allocation. We sought to feed common clinical available data to a deep learning algorithm for predicting short to long-term mortality in sepsis survivors. …”
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Increased 30-day mortality associated with weekend emergency admission for alcohol-related liver disease in England: a record-linkage study using the Clinical Practice Research Dat... by Keith Bodger, Susanna Dodd, Thomas Mair, Steve Hood, Kate M Fleming, Benjamin Silberberg, Pietà Schofield, William Tench

“…Objective Deficiencies have been highlighted in acute hospital care for alcohol-related liver disease (ARLD). Such problems may be worse at weekends (WEs). Increased 30-day mortality for WE admissions has been reported for several acute conditions, but data for ARLD are limited. …”
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Two Datasets over South Tyrol and Tyrol Areas to Understand and Characterize Water Resource Dynamics in Mountain Regions by Ludovica De Gregorio, Giovanni Cuozzo, Riccardo Barella, Francisco Corvalán, Felix Greifeneder, Peter Grosse, Abraham Mejia-Aguilar, Georg Niedrist, Valentina Premier, Paul Schattan, Alessandro Zandonai, Claudia Notarnicola

“…The snow cover fraction (SCF) and Soil Moisture Content (SMC) datasets are derived from machine learning algorithms based on remote sensing data. Both SCF and SMC products are characterized by a spatial resolution of 20 m and are provided for the period from October 2020 to May 2023 (SCF) and from October 2019 to September 2022 (SMC), respectively, covering winter seasons for SCF and spring–summer seasons for SMC. …”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

“…DCs-related gene signature (DCRGS) was constructed using integrated machine learning algorithms. Expression of key genes in clinical samples was examined by real-time q-PCR. …”
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