Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Feature selection method impacts radiomics models’ performance more than ML algorithms. Best feature selection methods: RFE, LASSO, RF, and Boruta. …”
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Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study by Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

“…A total of 5 machine learning algorithms, namely random forest, Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting, Gradient Boosting Machine, and CatBoost were used. …”
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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

“…Prediction of birthweight using machine learning (ML) models with antenatal data may help in better clinical management. However, the lack of explainability in these models has raised concerns within the medical community. …”
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Syn-MolOpt: a synthesis planning-driven molecular optimization method using data-derived functional reaction templates by Xiaodan Yin, Xiaorui Wang, Zhenxing Wu, Qin Li, Yu Kang, Yafeng Deng, Pei Luo, Huanxiang Liu, Guqin Shi, Zheng Wang, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

“…Although many deep-learning-based molecular optimization algorithms have been proposed and may perform well on benchmarks, they usually do not pay sufficient attention to the synthesizability of molecules, resulting in optimized compounds difficult to be synthesized. …”
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Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study by Yi Liu, Jie Xiang, Ping Yan, Yuanqiong Liu, Peng Chen, Yujia Song, Jianhua Ren

“…However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers to miss critical intervention opportunities. …”
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Lateral shear interferometry for shape accuracy measurements of 3D-printed micro-optics by Zhao Yanqiu, Wang Lunwei, Siegle Leander, Giessen Harald

“…This advantage facilitates the development of a notably compact set-up, making lateral shear interferometry particularly advantageous for integration with microscope and 3D-printer, despite the requirement for more complex algorithms in analyzing lateral shear interferograms. …”
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Association between pace of biological aging and cancer and the modulating role of physical activity: a national cross-sectional study by Jingying Nong, Yu Wang, Yi Zhang

“…Epigenetic clocks, derived from sets of DNA methylation CpGs and mathematical algorithms, have demonstrated a remarkable ability to indicate biological aging and age-related health risks. …”
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Pan-cancer analysis and validation of NT5DC2: emphasizing its prognostic significance and immunological role in TNBC by Qing Luo, Xiandong Xie, Luyao Tian, Xiaomin Gao, Shu Li, Jinqiu Zhang, Limei Mo, Xue Zhu, Ke Wang, Yongxiang Yin

“…Immune correlation analyses were performed using ESTIMATE and CIBERSORT algorithms. KEGG pathway enrichment analysis was used to explore NT5DC2-associated molecular pathways. …”
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Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP by Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li

“…Univariate analysis was employed to identify clinical risk factors, and correlation coefficients, MRMR, and LASSO algorithms were used for dimensionality reduction and selection of radiomics features. …”
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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study by Zheng Zhang, Jian Wu, Yi Duan, Linwei Liu, Yaru Liu, Jinghan Wang, Li Xiao, Zhifeng Gao

“…Moreover, interactions between sevoflurane and age and between hypertension and calcium levels may inform individualized hemodynamic management strategies.…”
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Poor Nutritional Status Increases Risk of Postoperative Adverse Events after Surgical Management of Traumatic Ankle Fracture by Sanket Mehta MD, Nicholas Danford MD

“…Patients missing baseline or comorbidity information, dead on arrival, or with a pilon fracture or stress fracture were excluded. Enhanced ICD-9 algorithms were used to identify patients with severe protein-calorie malnutrition and chronic deficiency. …”
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Theoretical basis and field experiment of low-temperature gathering and transportation for high water-cut crude trunk pipeline by Yang LYU, Hanwen ZHANG, Luoqian LIU, Fuqiang ZHANG

“…Conclusion The research findings can be applied to ensure safe operations and facilitate risk prediction and early warning for gathering and transportation pipelines undergoing temperature reduction. Future studies may incorporate correction coefficients or optimize algorithms within the hydraulic and thermal computational model to enhance the precision of hydraulic and thermal calculations for surface gathering and transportation pipeline networks handling high water-cut crude oil. …”
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Predictors of pathological complete response after total neoadjuvant treatment using short course radiotherapy for locally advanced rectal cancer by Haythem Yacoub, Yosr Zenzri, Dhouha Cherif, Hajer Ben Mansour, Najla Attia, Cyrine Mokrani, Khadija Ben Zid, Feryel Letaief, Nadia Maamouri, Amel Mezlini

“…Integrating these factors into personalized treatment algorithms may help optimize therapeutic strategies and improve outcomes for patients with LARC.…”
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Radiomic Analysis and Liquid Biopsy in Preoperative CT of NSCLC: An Explorative Experience by Maria Paola Belfiore, Mario Sansone, Giovanni Ciani, Vittorio Patanè, Carlotta Genco, Roberta Grassi, Giovanni Savarese, Marco Montella, Riccardo Monti, Salvatore Cappabianca, Alfonso Reginelli

“…These preliminary results suggest that radiomics may capture aspects of tumor biology reflected in liquid biopsy, warranting further validation in larger, well‐balanced cohorts. …”
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Artificial intelligence in molecular and genomic prostate cancer diagnostics by A. O. Morozov, A. K. Bazarkin, S. V. Vovdenko, M. S. Taratkin, M. S. Balashova, D. V. Enikeev

“…They have the potential to develop artificial intelligence (AI) algorithms by processing large amounts of data and define connections between them.Objective. …”
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A Review on Stable Precipitation Type Forecast in Winter by Zhao Linna, Mu Xiuxiang, Ma Cuiping, Wang Xiujuan, Li Dihua

“…Special types of precipitation can be a threat to public safety and human health and can disrupt transportation and commerce, causing seriously loss of the economy. Winter precipitation may also cause serious disasters to aircraft navigation. …”
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A systematic review and meta-analysis of utility-based quality of life in chronic kidney disease treatments. by Melanie Wyld, Rachael Lisa Morton, Andrew Hayen, Kirsten Howard, Angela Claire Webster

“…The main limitations of this study were that treatment assignments were not random, that only transplant had longitudinal data available, and that we calculated EuroQol Group EQ-5D scores from SF-36 and SF-12 health survey data, and therefore the algorithms may not reflect EQ-5D scores measured directly.…”
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Continuity of specialized care upon transfer of adolescents with epilepsy from a pediatric to adult outpatient service by M. N. Sarzhina, S. G. Burd, M. B. Mironov, M. M. Gunchenko, T. T. Batysheva

“…It is important to carefully watch any possible replacement of antiepileptic drugs (AEDs), which may affect the further course of epilepsy.Aim: to study the algorithms and procedures for bringing patients with epilepsy from a pediatric to adult outpatient practice, and also to evaluate the efficacy of therapy with synonymously replaced AEDs during this period.Materials and methods. …”
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Overcoming therapeutic resistance in driver-negative NSCLC: Immunomodulatory mechanisms and clinical efficacy of Camrelizumab-chemotherapy combination in a real-world cohort by Yan Ge, Yang Zhao

“…Camrelizumab, a PD-1 immune checkpoint inhibitor, may overcome resistance mechanisms by restoring immune surveillance and enhancing chemosensitivity through immunogenic cell death (ICD) and T-cell activation. …”
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Sodium Propionate Alleviates Atopic Dermatitis by Inhibiting Ferroptosis via Activation of LTBP2/FABP4 Signaling Pathway by Xie A, Li W, Ye D, Yin Y, Wang R, Wang M, Yu R

“…Analysis using three algorithms identified potential therapeutic targets of SP. …”
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