An Integrated System for Detecting and Numbering Permanent and Deciduous Teeth Across Multiple Types of Dental X-Ray Images Based on YOLOv8 by Ya-Yun Huang, Chiung-An Chen, Yi-Cheng Mao, Chih-Han Li, Bo-Wei Li, Tsung-Yi Chen, Wei-Chen Tu, Patricia Angela R. Abu

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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

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Performance of the Oncuria-Detect bladder cancer test for evaluating patients presenting with haematuria: results from a real-world clinical setting by Ian Pagano, Zhen Zhang, Michael Luu, Sergei Tikhonenkov, Florence Le Calvez-Kelm, Steve Goodison, Toru Sakatani, Kaoru Murakami, Takashi Kobayashi, Patrice Avogbe, Howard Kim, Riko Lee, Arnaud Manel, Emmanuel Vian, Charles J. Rosser, Hideki Furuya

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An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis by Burcu Özcan, İnci Uludağ Anıl, Mehmet Altay Ünal, Fikret Arı, Mustafa Kemal Sezgintürk, Sibel Ayşıl Özkan

“…The early diagnosis and management of traumatic brain injury (TBI) are dependent upon the early and precise detection of glial fibrillary acidic protein (GFAP). …”
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Inflammatory Cytokines Interleukin-1β and Tumour Necrosis Factor-α - Novel Biomarkers for the Detection of Periodontal Diseases: a Literature Review by Maria Gerusa Brito Aragão, Francisco Cesar Barroso Barbosa, Mirna Marques Bezerra, Vicente de Paulo Teixeira Pinto, Hellíada Vasconcelos Chaves

“…Objectives: The article aims to discuss the IL-1β and TNF-α potential use as salivary biomarkers of periodontal diseases pathogenesis and progression. Material and Methods: This literature review has been registered in PROSPERO database with following number: CRD42016035729. …”
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Mathematical modeling of basal body temperature influence on menstrual cycle, length of sleep, and stress levels as detection of fertile period (ovulation) in women by Tiara Rahayu, Ardiman Hasudungan, Rahmatul Afiya, Vinka Farradila M, Ro'fah Nur Rachmawati

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Community-Driven Nursing Interventions: Enhancing Prevention and Early Detection of Chronic Kidney Disease in Hypertensive Patients at Non-communicable Disease Clinics by Sumathi Arumugam, Theranirajan Ethiraj, Shankar Shanmugam Rajendran, Palani Tamilselvi, Umamaheswari Periyasamy, Ghercy Elumalai, Saranya Subbaiya

“…This, therefore, calls for early detection and prevention with the aim of reducing the disease’s progression and socioeconomic burden. …”
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Detection of Damage on Inner and Outer Races of Ball Bearings Using a Low-Cost Monitoring System and Deep Convolution Neural Networks by Handeul You, Dongyeon Kim, Juchan Kim, Keunu Park, Sangjin Maeng

“…Additionally, research aimed at identifying the root causes of faults through diagnostic algorithms has progressed relatively slowly. This study proposes a cost-effective monitoring system to improve economic feasibility. …”
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PD-Net: Parkinson’s Disease Detection Through Fusion of Two Spectral Features Using Attention-Based Hybrid Deep Neural Network by Munira Islam, Khadija Akter, Md. Azad Hossain, M. Ali Akber Dewan

“…Parkinson’s disease (PD) is a progressive degenerative brain disease that worsens with age, causing areas of the brain to weaken. …”
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Methylation of SEPT9 and LINC00473 Genes in Circulating Cell-Free DNA as a Potential Biomarker for the Early Detection of Colorectal Polyps by Masoud Tat, Mohammad Heiat, Ashraf Karbasi, Mohammad Ali Abyazi, Majid Zaki-Dizaji

“…Conclusions: LINC00473 can enhance the specificity of SEPT9 methylation-specific detection of precancerous lesions. The combined detection of SEPT9 and LINC00473 offers a simple and accurate screening tool for polyp detection, showing promise for the early non-invasive detection of CRC and associated precancerous lesions.…”
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Detection of FAM172A expressed in circulating tumor cells is a feasible method to predict high-risk subgroups of colorectal cancer by Chun-Hui Cui, Ri-hong Chen, Duan-Yang Zhai, Lang Xie, Jia Qi, Jin-Long Yu

“…In our research, mesenchymal circulating tumor cells significantly increased along with tumor progression, development of distant metastasis, and vascular invasion. …”
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Instant and low-cost detection of urinary microalbumin using smartphone technology and a paper-based platform with a colorimetric ratio analysis by Nutcha Larpant, Chanatnan Tetsiri, Theerasak Rojanarata, Wanida Laiwattanapaisal

“…Abstract Early detection of microalbuminuria is essential for preventing the progression of nephropathy and improving patient management. …”
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LeONet: A Hybrid Deep Learning Approach for High-Precision Code Clone Detection Using Abstract Syntax Tree Features by Thanoshan Vijayanandan, Kuhaneswaran Banujan, Ashan Induranga, Banage T. G. S. Kumara, Kaveenga Koswattage

“…These duplications, or “code clones”, complicate the program structure and increase maintenance costs. …”
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The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO). XII. Extreme Millimeter Variability Detected in a Class II Disk by James M. Miley, Laura M. Pérez, Carolina Agurto-Gangas, Anibal Sierra, Leon Trapman, Miguel Vioque, Nicolas Kurtovic, Paola Pinilla, Ilaria Pascucci, Ke Zhang, Rossella Anania, John Carpenter, Lucas A. Cieza, Dingshan Deng, Camilo González-Ruilova, Giovanni P. Rosotti, Dary A. Ruiz-Rodriguez, Estephani E. TorresVillanueva

“…During observations made as part of the AGE-PRO Large Program, significant variability in the brightness of the 2MASS J16202863-2442087 system was detected between individual executions. …”
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A Network Analysis Approach to Detect and Differentiate Usher Syndrome Types Using miRNA Expression Profiles: A Pilot Study by Rama Krishna Thelagathoti, Wesley A. Tom, Chao Jiang, Dinesh S. Chandel, Gary Krzyzanowski, Appolinaire Olou, Rohan M. Fernando

“…It presents in three clinical types—USH1, USH2, and USH3—with varying onset, severity, and disease progression. Existing diagnostics primarily rely on genetic profiling to identify variants in USH genes; however, accurate detection before symptom onset remains a challenge. …”
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Liquid Biopsy Detects Relapse Five Months Earlier than Regular Clinical Follow-Up and Guides Targeted Treatment in Breast Cancer by Fiona Tsui-Fen Cheng, Nina Lapke, Chin-Chu Wu, Yen-Jung Lu, Shu-Jen Chen, Pei-Ning Yu, Yen-Ting Liu, Kien Thiam Tan

“…Four months after treatment initiation, a second ctDNA analysis suggested a relapse, and the patient clinically progressed after five months of everolimus therapy. …”
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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

“…Differentiated spatiotemporal patterns were found in the evolutionary trajectories of MUPS in China, with a progressive intensification in the degree of spatial decentralization. …”
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Artificial-Intelligence Bio-Inspired Peptide for Salivary Detection of SARS-CoV-2 in Electrochemical Biosensor Integrated with Machine Learning Algorithms by Marcelo Augusto Garcia-Junior, Bruno Silva Andrade, Ana Paula Lima, Iara Pereira Soares, Ana Flávia Oliveira Notário, Sttephany Silva Bernardino, Marco Fidel Guevara-Vega, Ghabriel Honório-Silva, Rodrigo Alejandro Abarza Munoz, Ana Carolina Gomes Jardim, Mário Machado Martins, Luiz Ricardo Goulart, Thulio Marquez Cunha, Murillo Guimarães Carneiro, Robinson Sabino-Silva

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Validation of a High-Throughput Microfluidic Real-Time PCR for the Detection of Vector-Borne Agents in Wild Birds from the Brazilian Pantanal by Amir Salvador Alabí Córdova, João Batista Pinho, Amanda Garcia Pereira, Clémence Galon, Tiago Valadares Ferreira, Lorena Freitas das Neves, Gabrielly de Oliveira Lopes, Rosangela Zacarias Machado, Sara Moutailler, Marcos Rogério André

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Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column imagesRepositorio Institucional – Universidad de Lima by Alexandre Almeida Del Savio, Ana Luna Torres, Daniel Cárdenas-Salas, Mónica Vergara Olivera, Gianella Urday Ibarra

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