An Agglomerative Clustering Combined with an Unsupervised Feature Selection Approach for Structural Health Monitoring by Tales Boratto, Heder Soares Bernardino, Alex Borges Vieira, Tiago Silveira Gontijo, Matteo Bodini, Dmitriy A. Martyushev, Camila Martins Saporetti, Alexandre Cury, Flávio Barbosa, Leonardo Goliatt

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Expert consensus on BRCA1/2 gene testing and clinical application in Chinese breast cancer patients (2025 edition) by WANG Hongxia, YIN Yongmei, HU Xichun

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Comparative analysis of the leprosy detection rate regarding its clinical spectrum through PCR using the 16S rRNA gene: a scientometrics and meta-analysis by Marcos Jessé Abrahão Silva, Marcos Jessé Abrahão Silva, Marcos Jessé Abrahão Silva, Thiago Pinto Brasil, Caroliny Soares Silva, Cristiane Cunha Frota, Daniele Melo Sardinha, Luiza Raquel Tapajós Figueira, Keitty Anne Silva Neves, Everaldina Cordeiro dos Santos, Karla Valéria Batista Lima, Nédia de Castilhos Ghisi, Luana Nepomuceno Gondim Costa Lima

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Oxygenated VOC Detection Using SnO₂ Nanoparticles with Uniformly Dispersed Bi₂O₃ by Haoyue Yang, Koichi Suematsu, Felipe Hiroshi Mashiba, Ken Watanabe, Kengo Shimanoe

“…Bi₂O₃ particles are introduced as foreign additives onto SnO₂ nanoparticles (NPs) surfaces for the efficient detection of oxygenated volatile organic compounds (VOCs). …”
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Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: A pilot diagnostic accuracy study by Josep M. Badia, Daniel Casanova-Portoles, Estela Membrilla, Carles Rubiés, Miquel Pujol, Joan Sancho

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Engaging Australian healthcare consumers to determine priorities and consensus for precision medicine approaches to detect non-communicable disease in early life: a modified Delphi... by Tegan Grace, Kirsty Pringle, Craig Pennell, Samantha Hoskins, Gillian Mason, Melinda Cruz Turner, Keren Ludski, Leila Usher, Nafiseh Ghafournia

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Investigation of Features of Mass-Fragmentation of Some N-(N,N-diethylacetamidino)-O-alkylfluorophosphates and Related Alkylfluorophosphonates and their Detection by Liquid Chro... by A. V. Braun, I. V. Rybalchenko, V. N. Fateenkov, V. A. Yashkir

“…The results of  optimization of conditions of mass-spectrometric detection, selection of optimal pairs of ion reactions and program of  gradient elution during separation of chemicals in reversed-phase liquid chromatography were presented. …”
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Characterization of Dried Blood Spot Quality Control Materials for Lysosomal Enzyme Activity Assays Using Digital Microfluidic Fluorometry to Detect Lysosomal Storage Disorders in... by Paul Dantonio, Tracy Klug, Golriz Yazdanpanah, Christopher Haynes, Hui Zhou, Patrick Hopkins, Robert Vogt, Rachel Lee, Carla Cuthbert, Konstantinos Petritis

“…We conclude that these DBS QC preparations are suitable for use as external quality control materials for DMF assays used to detect LSDs in newborns.…”
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Automated pain detection using facial expression in adult patients with a customized spatial temporal attention long short-term memory (STA-LSTM) network by Chin Wen Tan, Tiehua Du, Jing Chun Teo, Diana Xin Hui Chan, Wai Ming Kong, Ban Leong Sng

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Utilizing loop-mediated isothermal amplification (LAMP) for detecting hemoglobin Constant Spring and hemoglobin Pakse mutations amidst the high prevalence and genetic heterogeneity... by Kasama Wongprachum, Nichakan Thitipoomdecha, Phakkamon Ananratanakit, Wattanakit Prakobkul, Unchasa Angkuranak, Nitchagan Sawangkul, Prapaporn Panichchob, Rossarin Karnpean, Wittaya Jomoui

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Determination of Fluconazole in Children in Small Blood Volumes Using Volumetric Absorptive Microsampling (VAMS) and Isocratic High-Performance Liquid Chromatography–Ultraviolet (H... by Franziska Zimbelmann, Andreas H. Groll, Georg Hempel

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The Efficacy of the Integrated Health Service Post Cadres Training in Noncommunicable Disease Prevention Among Older People in Southwest Papua by Elisabeth Samaran, Alva Cherry mustamu, Yoseph Mamo

“…Community-based approaches, such as the Integrated Health Service Post program, potentially enhance the early detection and prevention of NCDs. …”
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Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in t... by Nichel Marquez, Erwin John Carpio, Mary Rosary Santiago, Jeremiah Calderon, Ruth Orillaza-Chi, Shawnee Shaine Salanap, Lisa Stevens

“…Systematic TB case finding using chest X-ray (CXR) with computer-aided detection powered by deep learning-based artificial intelligence (AI-CAD) provided this opportunity. …”
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Assessing the impact of COVID-19 on tuberculosis detection and treatment in healthcare facilities across Addis Ababa, Ethiopia: A comprehensive mixed-method, multi-center study. by Beshir Bedru Nasir, Oumer Sada Muhammed, Melaku Tileku Tamiru, Legese Chelkeba

“…Consequently, a thorough assessment of the impact of COVID-19 on TB care becomes imperative to devise a tailored program for managing TB amidst future pandemics, natural disasters, and conflict crises.…”
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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

“…Summary: Background: Post-hepatectomy liver failure (PHLF), defined as acute liver failure following hepatectomy, remains a major complication for postoperative mortality lacking early detection approaches. This study aimed to leverage cutting-edge artificial intelligence (AI) techniques for extensive temporal feature analysis using perioperative data, to advance the detection of PHLF to the first 24 h after surgery. …”
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POPULATION-BASED ASSESSMENT OF THE RECTAL CANCER STAGE STRUCTURE AND INCIDENCE AFTER IMPLEMENTATION OF THE NATIONAL PROJECT “HEALTH” AND ALL-NATIONAL DISPENSARIZATION IN THE ARKHAN... by D. M. Dubovichenko, M. Y. Valkov, A. A. Karpunov, A. Yu. Pankrat'eva

“…Implementation of national programs for health system reforming didn’t provide significant improvement in earlier detection of RC. …”
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Comparative analysis of SD biosensor standard™ M10 HPV and seegene anyplex™ II HPV HR for detecting high-risk human papillomavirus: a concordance study by Abigail Rembui Jerip, Vaenessa Noni, Vanessa Kiah Anthony, Andy Cheong Shin Bong, Jaria Adam, Cheng Siang Tan

“…Methods A total of 151 archived self-sampled high vaginal swabs from the Sarawak Urban and Rural Action for Cervical Cancer Elimination Programme (Program SUARA) were analyzed. hrHPV detection and genotyping were performed using Anyplex, which identifies 14 hrHPV genotypes, and M10, which detects HPV16, HPV18, and other hrHPV categorized into six genogroups. …”
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Prostate-specific antigen, digital rectal examination, and prostate cancer detection: A study based on more than 7000 transrectal ultrasound-guided prostate biopsies in Ghana by James Edward Mensah, Evans Akpakli, Mathew Kyei, Kenneth Klufio, Isaac Asiedu, Kweku Asante, Bernard Toboh, Micheal Darko Ashaley, Ben Molai Addo, Bernard Morton, Erica Akoto Quist

“…These findings underscore the importance of PSA and DRE in the early detection of prostate cancer and should be considered in patient counseling and discussions regarding the implementation of prostate cancer screening programs in this population.…”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…Abstract Volleyball training robots play an important role in modern sports training, and their automatic serving technology can simulate serving modes in different scenarios, providing athletes with diverse training programs. However, due to the characteristics of volleyball, such as small size, fast speed, and susceptibility to occlusion and noise interference in complex backgrounds, traditional object detection methods are hard to meet their real-time and accuracy requirements. …”
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HARNESSING MACHINE LEARNING IN HPV DIAGNOSTICS: MODEL PERFORMANCE, EXPLAINABILITY, AND CLINICAL INTEGRATION by Bahar Senel

“…The seamless integration of AI-powered tools into HPV screening programs holds transformative potential for early detection, personalized risk assessment, and improved patient outcomes, ultimately contributing to the global reduction of HPV-related malignancies.…”
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