Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

“…This study aimed to develop and validate a predictive model for the occurrence of multiple complications (three or more) in patients with HBC and to explore the effects of multiple complications on HBC prognosis. …”
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HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification by Junxiao Chen, Ruixue Wang, Wei Dong, Hua He, Shiyong Wang

“…The decoder employs a dual-mechanism architecture: The first branch of the mechanism splits into two parallel paths for nuclear segmentation, producing nuclear pixel (NP) and horizontal and vertical distance (HV) predictions, while the second mechanism branch focuses on type prediction (TP). …”
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Hypervirulent Klebsiella pneumoniae have better clinical outcomes than classical Klebsiella pneumoniae for lower respiratory tract infection patients by Xianxia Zhuo, Zichen Lei, Danni Pu, Yongli Wu, Jiankang Zhao, Bin Cao

“…Conclusions These findings suggest that capsule serotype is a more accurate factor for the prediction of the virulence phenotype, while hvKp have better clinical outcomes than cKp for LRTI patients. …”
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The progress in the field of clinical staging for mental disorders within the last decade: an updated systematic review by Sharon L. Clarke, Sharon L. Clarke, Nicole Soons, Arjan C. Videler, Arjan C. Videler, Sebastiaan P. J. van Alphen, Sebastiaan P. J. van Alphen, Henricus Van, Linda Dil, Laurens Pappijn, Sven Corbeij, Beau Broekhof, Beau Broekhof, Andrew M. Chanen, Andrew M. Chanen, Joost Hutsebaut, Joost Hutsebaut

“…IntroductionClinical staging aims to refine psychiatric diagnosis by describing mental disorders on a continuum of disorder progression, with the pragmatic goal of improved treatment planning and outcome prediction. The first systematic review on this topic, published a decade ago, included 78 papers, and identified separate staging models for schizophrenia, unipolar depression, bipolar disorder, panic disorder, substance use disorder, anorexia, and bulimia nervosa. …”
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Quo vadis autoimmune hepatitis? - Summary of the 5th international autoimmune hepatitis group research workshop 2024Keypoints by Bastian Engel, David N. Assis, Mamatha Bhat, Jan Clusmann, Joost PH. Drenth, Alessio Gerussi, María-Carlota Londoño, Ye Htun Oo, Ida Schregel, Marcial Sebode, Richard Taubert

“…The specific objectives of this year's 5th Workshop were: (1) To further improve diagnostics. (2) Initiate clinical trials including knowledge transfer on drugs from extrahepatic immune-mediated diseases, including B cell-depleting CAR T cells. (3) Utilisation of multi-omics approaches to improve the understanding of disease pathogenesis. (4) Application of machine learning-based approaches established in oncology or transplantation medicine to improve diagnosis and outcome prediction in AIH.…”
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Evaluation of the WRF-CMAQ Model Performances on Air Quality in China with the Impacts of the Observation Nudging on Meteorology by Jiali Li, Shaocai Yu, Xue Chen, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Weiping Liu, Pengfei Li, Min Xie, Jia Xing

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QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) by Osama Dasa, Eileen Handberg, Damini Dey, Pinaki Sarder, Margaret C. Lo, Balaji K. Tamarappoo, Steven M. Smith, Leslee J. Shaw, C. Noel Bairey Merz, Carl J. Pepine

“…The QUIET WARRIOR sub-study aims to improve predictive tools for adverse outcomes by detailed analysis of Coronary Computed Tomography Angiography (CCTA) data and biorepository samples. …”
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Research Status and Direction of Chronic Obstructive Pulmonary Disease Complicated with Coronary Heart Disease: A Bibliometric Analysis from 2005 to 2024 by Bian H, Zhu S, Xing W, Qi L, Xue J, Peng X, Jin Z, Zhao H

“…To improve the early detection rate of COPD complicated with CHD, the main development direction in the future is to extract computed tomography (CT) features using imaging omics and establish an early prediction model. The results of this study will provide new ideas and directions for subsequent related research.Keywords: chronic obstructive pulmonary disease, COPD, coronary heart disease, CHD, inflammation, bibliometrics, visual analysis…”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…The network demonstrates superior training convergence and prediction accuracy due to information sharing between different task heads, compared to a two-classification network with the same Res-Net backbone. …”
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Very low urinary marinobufagenin excretion reflects a high risk of disease progression in non-advanced CKD by Davide Bolignano, Davide Bolignano, Marta Greco, Marta Greco, Loredana Tripodi, Mario D’Agostino, Paola Cianfrone, Roberta Misiti, Roberta Misiti, Sara Pugliese, Mariateresa Zicarelli, Michela Musolino, Michela Musolino, Daniela Patrizia Foti, Daniela Patrizia Foti, Michele Andreucci, Michele Andreucci, Giuseppe Coppolino, Giuseppe Coppolino

“…BackgroundChronic kidney disease (CKD) has now reached pandemic proportions but risk prediction towards end-stage kidney disease (ESKD) remains challenging. …”
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Comparative analysis of the intestinal flora of Siniperca chuatsi at different growth stages under three feeding practices by Yunyun Yan, Fubao Wang, Xiao Chen, Junjian Dong, Fengying Gao, Hetong Zhang, Xing Ye, Chengbin Wu, Chengfei Sun

“…At three months of age, the α-diversity was significantly higher in the compound feed group compared to the mixed diet group or live bait group (p < 0.05). Functional prediction revealed that the carbohydrate metabolism pathway was most enriched in the compound feed group, while the amino acid metabolism pathway was most enriched in the live bait group. …”
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Deciphering the role of flutamide, fluorouracil, and furomollugin based ionic liquids in potent anticancer agents: Quantum chemical, medicinal, molecular docking and MD simulation... by Danish Ali, Muhammad Arif Ali, Muhammad Sarfraz, Afifa Yousuf, Rasham Zulfiqar, Abdul Rauf, Hong-Liang Xu, Muhammad Arshad

“…Such as, toxicity evaluation based on the TOX21 pathway confirmed the non-toxic attributes of these ILs, bolstering their potential as antitumor drugs. The metabolic prediction for [FM1]+ was consistent with its expected behavior in the biological system with its likelihood ranging from 89 % to 83 %. …”
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Film Recommender System Menggunakan Metode Neural Collaborative Filtering by Ni’mah Khoiriyah Ayyiyah, Retno Kusumaningrum, Rismiyati Rismiyati

“…The recommendation system will help users find items based on their respective interests by providing predictions. The recommender system will help a user find an item based on their respective interests by providing predictions of several items based on user preferences derived from the user's assessment history of the item. …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…Based on the tests that have been carried out, the difference in value between the actual data and the prediction results in the size of the MAPE average value of 11.90%, which shows a fairly small error value. …”
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A new prognostic model based on serum apolipoprotein AI in patients with HBV-ACLF and acutely decompensated liver cirrhosis by Ruidong Mo, Zhenglan Zhang, Yanmei Zhou, Yue Wang, Pengbo Yin, Chenxi Zhang, Haoshuang Fu, Cong Qian, Xiaogang Xiang, Rongkun Yin, Qing Xie

“…Conclusion In HBV-ACLF and AD patients, lower serum apoAI levels suggest greater disease severity and 90-day mortality risk. For predicting the short-term prognosis of these patients, the new Lip-ACLF score might serve as a potential model.…”
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Targeting aldose reductase using natural African compounds as promising agents for managing diabetic complications by Miriam E. L. Gakpey, Shadrack A. Aidoo, Toheeb A. Jumah, George Hanson, Siyabonga Msipa, Florence N. Mbaoji, Omonijo Bukola, Palesa C. Tjale, Mamadou Sangare, Hedia Tebourbi, Olaitan I. Awe

“…The ADMET and protein-ligand interaction results revealed that these compounds interacted with key inhibiting residues through hydrogen and hydrophobic interactions and demonstrated favorable pharmacological and low toxicity profiles. Prediction of biological activity highlighted Zinc000095485961 and 1,6-di-o-p-hydroxybenzoyl-beta-d-glucopyranoside as having significant inhibitory activity against aldose reductase. …”
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A novel Alteromonas phage with tail fiber containing six potential iron-binding domains by Chen Yu, Meishun Yu, Ruijie Ma, Shuzhen Wei, Min Jin, Nianzhi Jiao, Qiang Zheng, Rui Zhang, Xuejin Feng

“…Two auxiliary metabolic genes, encoding Acyl carrier protein and AAA domain-containing protein, were predicted in R22Y, which may potentially assist in host fatty acid metabolism and VB12 biosynthesis, respectively. …”
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Proteomics unveil candidate biomarkers and pathogenesis of subacute thyroiditis by Litong Ran, Xiufei Liu, Yongfeng Tian, Jiaran Zhu, Zhengyuan Gong, Qiao Qiao, Xin Jiang, Yuren Wang, Guojun Yang, Hongting Zheng, Yi Zheng, Hua Qu

“…Thus, these high-abundance proteins can potentially serve as biomarkers for SAT diagnosis and outcome prediction. Our findings provide valuable insights into SAT biomarkers and shed light on the potential pathogenesis and therapeutic targets of SAT.…”
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Assessment of the influence of gap wall mobility factor at calculation of leakage in working section of a scroll compressor. Part 1 by V. A. Pronin, A. V. Kovanov, V. A. Tsvetkov, E. N. Mikhailova, E. A. Kalashnikova

“…In this case relevance consists in increase of accuracy of compressor losses calculation and prediction of refrigeration machine characteristics. …”
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Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study by Kuganya Nirmalarajah, Patryk Aftanas, Shiva Barati, Emily Chien, Gloria Crowl, Amna Faheem, Lubna Farooqi, Alainna J. Jamal, Saman Khan, Jonathon D. Kotwa, Angel X. Li, Mohammad Mozafarihashjin, Jalees A. Nasir, Altynay Shigayeva, Winfield Yim, Lily Yip, Xi Zoe Zhong, Kevin Katz, Robert Kozak, Andrew G. McArthur, Nick Daneman, Finlay Maguire, Allison J. McGeer, Venkata R. Duvvuri, Samira Mubareka

“…Conclusions Viral genomic features have limited utility in predicting hospitalization across SARS-CoV-2 diversity. …”
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