The Prediction Model of High-Frequency Ultrasound Combined with Artificial Intelligence-Assisted Scoring System Improved the Diagnosis of Sclerosing Adenosis and Early Breast Cancer by Ma B, Wu G, Zhu H, Liu Y, Hu W, Zhao J, Liu Y, Liu Q

“…Bingxin Ma,1 Gang Wu,1 Haohui Zhu,1 Yifei Liu,1 Wenjia Hu,1 Jing Zhao,1 Yinlong Liu,1 Qiuyu Liu2 1Department of Ultrasound, Henan Provincial People’s Hospital, Zhengzhou, 450000, People’s Republic of China; 2Department of Pathology, Henan Provincial People’s Hospital, Zhengzhou, 450000, People’s Republic of ChinaCorrespondence: Gang Wu, Email drwugang325@126.com; Haohui Zhu, Email zhh761126@163.comObjective: The study aimed to apply an artificial intelligence (AI)-assisted scoring system, and improve the diagnostic efficiency of Sclerosing adenosis and early breast cancer.Methods: This study retrospectively collected adenopathy patients (156 cases) and early breast cancer patients (150 cases) in Henan Provincial People’s Hospital from August 2020 to April 2023.Results: The area under the curve of the model constructed by clinical ultrasound features and combined AI features to predict and identify the two in the training group was 0.89 and 0.94, respectively. …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…Although existing AD risk prediction tools demonstrate high accuracy, their complexity and limited accessibility restrict practical application. …”
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Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model by Wenwen Cheng, Chen Yu, Xiaohui Liu

“…In terms of external data, the classification and prediction performance of various models are comprehensively evaluated. …”
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An Algorithm to Analyze Cost Heterogeneity using Counterfactual Scenarios in Endovascular versus Open Repair of Abdominal Aortic Aneurysm: Predicting Costs for Subsequent Patients by Christopher A. Jones, Peter W. Callas, Robert W. Everett, Richard A. Galbraith, Richie Spitsberg, Jeffrey J. Petrozzino, Michael J. DeSarno, Andrew C. Stanley

“…**Conclusions:** Certain risk factors at the individual patient level are predictive of UQC. Under such circumstances, it is our expectation that such algorithms may be used to select the most cost-efficient treatment.…”
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Does binge drinking between the age of 18 and 25 years predict alcohol dependence in adulthood? A retrospective case–control study in France by Marie-Pierre Tavolacci, Joel Ladner, Pierre Déchelotte, Quentin Berthon, Damiano Cerasuolo, Alexandre Baguet

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Rational design of novel phenol ether derivatives as non-covalent proteasome inhibitors through 3D-QSAR, molecular docking and ADMET prediction by Miao Yuan, Hanwen Ji, Fengxin Sun, Qiang Chen, Ping Cheng

“…At the same time, the pharmacokinetic (PK) prediction, drug-likeness, and synthesis prediction were made for the screened novel drugs. …”
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The trend of Epstein-Barr virus DNA loads and CD8+ T lymphocyte numbers can predict the prognosis of pediatric liver transplant recipients with PTLD by Wang Kedi, Xu Dongjiang, Gao Yan, Ma Kaihui, Zhao Wen

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Commentary on “A systematic review and meta-analysis comparing objectively measured and estimated fitness to predict all-cause and cardiovascular disease mortality in adults” by Barbara E. Ainsworth, Zhenghua Cai

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Does the 2D Frontal Plane Projection Angle Predict Frontal Plane Knee Moments during Stepping, Landing, and Change of Direction Tasks? by Rachel K Straub, Christopher M Powers

“…However, the predictive ability of the FPPA was weak to moderate.…”
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A successful case study of using HCl and viscoelastic diverting acid systems for carbonate matrix acidizing in an oil well with optimized predictive model by Javad Mahdavi Kalatehno, Ehsan Khamehchi, Mostafa Keihanikamal, Fatemeh Yousefmarzi, Matin Dargi, Peyman Daneshfar

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Habitat suitability mapping and landscape connectivity analysis to predict African swine fever spread in wild boar populations: A focus on Northern Italy. by Giulia Faustini, Marie Soret, Alexandre Defossez, Jaime Bosch, Annamaria Conte, Annelise Tran

“…The distribution of ASF positive wild boars along the major corridors predicted by the model suggests the obtained maps as valuable support to decision-makers to improve ASF surveillance and carcass early detection, aiming for eradication. …”
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Identification of specific risk factors and predictive analytics for cardio-cerebral arterial stenosis: a comparative study utilizing framingham risk stratification insights by Gege Zhang, Sijie Dong, Fanfan Feng, Weihao Kan, Taozhen Shi, Hongmei Ding, Ruiguo Dong

“…This study aimed to investigate the prevalence of ICAS and COAS among ischemic stroke patients across different risk strata and to construct a predictive model for assessing atherosclerosis risk. …”
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Variability and performance of NHS England’s ‘reason to reside’ criteria in predicting hospital discharge in acute hospitals in England: a retrospective, observational cohort study by Elizabeth Sapey, Simon Ball, David McNulty, Felicity Evison, Suzy Gallier, Katherine Reeves

“…Performance of eR2R in predicting discharge within 24 hours.Results There were high levels of intracentre and intercentre variability in R2R-related metrics (p<0.0001) but not in eR2R. …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with breast cancer by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…The nomogram displayed superior predictive discrimination with an AUC of 0.862 for the training cohort and 0.861 for the testing cohort. …”
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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Kubra Noor, Ubaida Fatima

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Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Sawaran SinghSingh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

“…Specifically, a neural network is applied as a base learner for predicting antenna parameters, resulting in increased predictive performance, achieving R², EVS, MSE, RMSE, and MAE values of 0.96, 0.998, 0.00842, 0.00453, and 0.00999, respectively. …”
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Hospital frailty risk score predicts graft failure severe infection and mortality in hospitalized kidney transplant recipients from 2010 to 2018 US data by Lumin Chen, Feifan Chu, Hangbin Ma, Zujie Chen, Yuning Ma, Qiwei Ji, Hao Zhou

“…HFRS stratification can be used to predict the risk of in-hospital mortality, longer LOS, graft failure, and adverse discharge. …”
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The INFLUENCE 3.0 model: Updated predictions of locoregional recurrence and contralateral breast cancer, now also suitable for patients treated with neoadjuvant systemic therapy by M.C. Van Maaren, T.A. Hueting, D.J.P. van Uden, M. van Hezewijk, L. de Munck, M.A.M. Mureau, P.A. Seegers, Q.J.M. Voorham, M.K. Schmidt, G.S. Sonke, C.G.M. Groothuis-Oudshoorn, S. Siesling

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Predictive and spatial analysis for estimating the impact of sociodemographic factors on contraceptive use among women living with HIV/AIDS (WLWHA) in Kenya: Implications for policies and practice by Menkeoma Laura Okoli, Samuel Alao, Somtochukwu Ojukwu, Nnadozie C Emechebe, Asuelimen Ikhuoria, Kevin E Kip

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Comparative evaluation of APRI and MELD scores in the prediction of complications of chronic hepatitis in patients infected with hepatitis B or C viruses in Lubumbashi, democratic republic of Congo by Arsène Kabamba-Tshikongo, Adolphe Baleebenga, Bernard Kalunga-Tompa, Claude Mwamba-Mulumba, Henry Manya-Mboni, Cedrick Mutombo-Shakalenga, Pierrot Mwamba-Tshilumba, Sébastien Bontems, Géraldine Dessilly, Benoît Kabamba-Mukadi, Albert Longanga-Otshudi

“…The objective of this study was to compare APRI and MELD scores in the prediction of fibrosis in patients with chronic viral hepatitis B in Lubumbashi. …”
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