Real-World Analysis of HRD Assay Variability in High-Grade Serous Ovarian Cancer: Impacts of BRCA1/2 Mutation Subtypes on HRD Assessment by Giovanni Luca Scaglione, Valentina Lombardo, Maurizio Polano, Giuseppa Scandurra, Angela Pettinato, Corrado Giunta, Rosario Iemmolo, Paolo Scollo, Ettore D. Capoluongo

“…The HRD status was assessed by means of shallow whole-genome sequencing and <i>BRCA1/2</i> status by the NGS pipeline. …”
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Comprehensive Blood Metabolome and Exposome Analysis, Annotation, and Interpretation in E-Waste Workers by Zhiqiang Pang, Charles Viau, Julius N. Fobil, Niladri Basu, Jianguo Xia

“…Two feature detection algorithms, <i>asari</i> and <i>centWave</i>, were applied. …”
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A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides by Nitin Kumar Chauhan, Krishna Singh, Amit Kumar, Ashutosh Mishra, Sachin Kumar Gupta, Shubham Mahajan, Seifedine Kadry, Jungeun Kim

“…Machine learning (ML) algorithms can discover patterns and anomalies in medical images, whereas deep learning (DL) methods, specifically convolutional neural networks (CNNs), are extremely accurate at identifying malignant lesions. …”
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Non-Destructive Monitoring of External Quality of Date Palm Fruit (<i>Phoenix dactylifera</i> L.) During Frozen Storage Using Digital Camera and Flatbed Scanner by Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski

“…Then, extracted features were used as inputs for pre-established algorithms–groups within WEKA 3.9 software to classify frozen date fruit samples after 0, 2, 4, and 6 months of storage. …”
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Residential Electricity Load Model Construction in District Scale by Jieyan XU, Wenyang XU, Yuan CHU, Yuan JIN, Xuyuan KANG, Zheng CHEN

“…To this end, this study proposes a method integrating auto-encoding and neighbor clustering algorithms for data outlier detection for data with high-dimensional characteristics at the spatial and temporal scales. …”
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Methodological aspects of inventory management in logistics under modern conditions by A. G. Sakharov, A. E. Trubin, O. P. Kultygin, A. Yu. Anisimov

“…The article aims to design optimal inventory management algorithms in logistics in the current environment. …”
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Potential of diagnostic electron microscopy of calcification, pathological neovascularization and elastolysis in combination with phenotyping of cell populations in large arteries by R. A. Mukhamadiyarov, K. Yu. Klyshnikov, V. A. Koshelev, A. G. Kutikhin

“…Electronic contrast distribution signatures unique for each cell population indicate the possibility of their automated phenotyping using specialized neural network algorithms.…”
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Engineered feature embeddings meet deep learning: A novel strategy to improve bone marrow cell classification and model transparency by Jonathan Tarquino, Jhonathan Rodríguez, David Becerra, Lucia Roa-Peña, Eduardo Romero

“…This assessment is still manually performed by trained specialists, who may be a bottleneck within the clinical process. Deep learning algorithms are a promising approach to automate this bone marrow cell evaluation. …”
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Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study by Ashraf Saleem, Ali Awad, Sidike Paheding, Evan Lucas, Timothy C. Havens, Peter C. Esselman

“…Finally, we perform an overlap analysis between the generated enhanced sets to identify cases where the enhanced images of different enhancement algorithms unanimously outperform, equally perform, or underperform the original images. …”
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EXPRESSION OF MATRIX METALLOPROTEINASES IN LACRIMAL FLUID AND GENE POLYMORPHISM OF COMPLEMENT FACTOR H (CFH) IN PATIENTS WITH PRIMARY OPEN-ANGLE GLAUCOMA by V. A. Sokolov, V. G. Likhvantseva, O. N. Levanova, A. A. Nikiforov, V. A. Vygodin

“…Genomic human DNA was isolated from the whole blood  leukocytes, a polymerase chain reaction (PCR) was performed.  …”
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Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms by D. S. Bug, I. S. Moiseev, Yu. B. Porozov, Yu. B. Porozov, N. V. Petukhova

“…The latest contemporary methods of variant effect prediction utilize machine learning algorithms on bulk data, yielding suboptimal correlation with biological data. …”
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Creeping in the night: What might ecologists be missing? by Carol Anne Nichols, Kathleen Alexander

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Pemodelan Spasial Lahan Terbangun Kota Jambi by Ayu Mardalena, Supriatna Supriatna, Muhammad Dimyati

“…The research employs a supervised classification method utilizing the Random Forest (RF) algorithm on Landsat 8 satellite imagery to track changes from the years 2013, 2016, 2019, and 2023, with accuracy validated using the kappa index. …”
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Establishment and validation of a combined diagnostic model for aldosterone-producing adenoma of the adrenal gland based on CT radiomics and clinical features by ZHANG Mingquan, LIU Jingjing, LIN Xin, FU Min, FENG Ying, CHEN Jingjing

“…The Pearson correlation coefficient and the least absolute shrinkage and selection ope-rator (LASSO) algorithm were used to identify the radiomic features on the plain CT and contrast-enhanced CT images of the adrenal gland, and a CT radiomic model was established. …”
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Thymidine phosphorylase and prostrate cancer cell proliferation inhibitory activities of synthetic 4-hydroxybenzohydrazides: In vitro, kinetic, and in silico studies. by Sumaira Javaid, Syed Muhammad Saad, Humaira Zafar, Rizwana Malik, Khalid Mohammed Khan, M Iqbal Choudhary, Atta-Ur Rahman

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Adverse events in the neonatal intensive care unit identified by triggers by Fabiana Bragança Albanese, Deise de Souza Ventura, Deise de Souza Ventura, Maurício Wesley Perroud, Maurício Wesley Perroud, Rafael Nogueira de Souza, Mariana Vieira Morau, Marília Berlofa Visacri, Marília Berlofa Visacri, Patricia Moriel, Patricia Moriel

“…AE severity was assessed using the Neonatal Adverse Event Severity Scale (NAESS) and the World Health Organization (WHO) classification, while ADR causality was evaluated using the WHO criteria and the algorithm proposed by Du et at. …”
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Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients by Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia

“…Through recursive feature elimination (RFE), we systematically developed prediction models employing ten distinct ML algorithms. The SHAP algorithm was implemented to enhance model interpretability, while patient stratification was subsequently performed using PCA and K-means clustering to facilitate comprehensive prognostic analysis. …”
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Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates. by Rodrigo Soares Ramos, Lalit Kumar, Farzin Shabani, Marcelo Coutinho Picanço

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Norepinephrine use in cardiogenic shock patients is associated with increased 30 day mortality by Xin Lu, Xue Wang, Yanxia Gao, Joseph Harold Walline, Shiyuan Yu, Zengzheng Ge, Mubing Qin, Huadong Zhu, Yi Li

“…Conclusions Cardiogenic shock patients treated with norepinephrine were associated with significantly increased short‐term mortality, while no significant difference was found on long‐term survival rates. …”
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Gaps in universal health coverage in South Korea: Association with depression onset in a community cohort. by Hye Yin Park, Yun-Chul Hong, Ichiro Kawachi, Juhwan Oh

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