Development of a Sensitive Enzyme Immunoassay Using Phage-Displayed Antigen-Binding Fragments for Zearalenone Detection in Cereal Samples by Ying Chen, Xinmiao Liu, Jiao Li, Xing Liu

“…Consequently, there is an urgent need for a sensitive and rapid method for detecting trace levels of ZEN. In this study, we developed a phage-displayed antigen-binding fragment (Fab-phage) and established a Fab-phage-based enzyme-linked immunosorbent assay (Fab-pELISA) for ZEN detection. …”
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Detection of potential complications in cancer survivors after chemotherapy and development of a regional care network: the PASCA feasibility study by Romain Buono, Olivia Pérol, Olivia Pérol, Olivia Pérol, Meyssane Djebali, Mélodie Borja, Alicia Abadie, Stéphane Morisset, Anne-Sophie Michallet, Aude Fléchon, Helen Boyle, Emmanuelle Nicolas-Virelizier, Philippe Rey, Yann Guillermin, Souad Assaad, Amine Belhabri, Laure Lebras, Jean-Yves Blay, Béatrice Fervers, Béatrice Fervers, Béatrice Fervers, Mauricette Michallet, Mauricette Michallet

“…The results supported the feasibility of a complication detection program and highlighted the presence of de novo complications at the first visit, as well as an increase in the number of patients developing complication in four areas between the first and last visit. …”
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Development of ViScan: A Mobile Application for Skin Cancer Detection Using Ionic Framework and YOLOv10x by Alif Agsakli Haresta Haresta, Cinantya Paramita, William Dwiputra Tjahtjono

“…To address this challenge, this research focuses on developing a mobile application that leverages deep learning, specifically the YOLOv10x model, to enable fast and accurate detection of skin lesions. …”
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Development and Application of a Fully Automated Chemiluminescence Enzyme Immunoassay for the Detection of Antibodies Against Porcine Circovirus 3 Cap by Lei Wang, Duan Li, Daoping Zeng, Xiaomin Wang, Yanlin Liu, Guoliang Peng, Zheng Xu, Changxu Song

“…Here, a novel fully automated chemiluminescence enzyme immunoassay (CLEIA) was developed to detect antibodies (Abs) to Cap in porcine serum. …”
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The Development of ELISA-test System for Detection of Specific IgG to SARS-COV-2 Coronavirus by Immunoblotting (Line Blot) by S. G. Mardanly, T. V. Popova

“…Purpose To develop ELISA test system for detection of G specific immunoglobulins to SARS-COV-2 coronavirus by immunoblotting (Line Blot). …”
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Development of polymerase chain reaction coupled with a high-resolution melting technique for detection of Helicobacter pylori clarithromycin resistance by Souad Oirdi Zahir, Mounia El Khadir, Dafr-Allah Benajah, Sidi Adil Ibrahimi, Laila Chbani, Mohamed El Abkari, Bahia Bennani

“…The aim of this study was to develop a highly sensitive and cheap molecular technique to detect H. pylori clarithromycin resistant strains. …”
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Development of a novel hepatitis B virus encapsidation detection assay by viral nucleocapsid-captured quantitative RT-PCR by Dong-Kyun Ryu, Yeji Ahn, Wang-Shick Ryu, Marc P. Windisch

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Development and validation of a highly sensitive HPLC method for quantifying cardiovascular drugs in human plasma using dual detection by Khalid A. M. Attia, Ahmed H. Abdel-Monem, Ahmed M. Abdel-Raoof, Amr S. Eissa

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Development and validation of a multiplex PCR assay with melt curve analysis for detecting simian Plasmodium in wild Macaca fascicularis by Thitiluck Swangsri, Rucksak Rucksaken, Wanat Sricharern, Wang Nguitragool, Naowarat Saralamba

“…We developed and validated a SYBR Green-based real-time PCR assay targeting the msp1 gene to detect and differentiate P. knowlesi, P. cynomolgi, and P. inui. …”
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Development of an Analytical Protocol for Determination of Cyanide in Human Biological Samples Based on Application of Ion Chromatography with Pulsed Amperometric Detection by Ewa Jaszczak, Marek Ruman, Sylwia Narkowicz, Jacek Namieśnik, Żaneta Polkowska

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Development of the CRISPR-Cas12a-Based Biosensing System for Rapid, Ultrasensitive, and Highly Specific Detection of Streptococcus pyogenes by Xinbei Jia, Yiqin Zhang, Lin Zhou, Juan Zhou, Fei Xiao, Lijuan Ma, Yi Wang, Jun Tai

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Development of fault detection system in irrigation pumping systems using machine learning methods with consideration of energy and water consumption by Gulnar Zholdangarova, Waldemar Wójcik

“…The aim of this research is to develop and validate early fault detection and classification methods for pumping systems using advanced machine learning algorithms and sensor data analysis.…”
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Detection of Body Packs in Abdominal CT scans Through Artificial Intelligence; Developing a Machine Learning-based Model by Sayed Masoud Hosseini, Seyed Ali Mohtarami, Shahin Shadnia, Mitra Rahimi, Peyman Erfan Talab Evini, Babak Mostafazadeh, Azadeh Memarian, Elmira Heidarli

“… Introduction: Identifying the people who try to hide illegal substances in the body for smuggling is of considerable importance in forensic medicine and poisoning. This study aimed to develop a new diagnostic method using artificial intelligence to detect body packs in real-time Abdominal computed tomography (CT) scans. …”
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Development a glycosylated extracellular vesicle-derived miRNA Signature for early detection of esophageal squamous cell carcinoma by Jianlin Chen, Yue Zheng, Zhen Wang, Qi Gao, Kun Hao, Xiongfeng Chen, Nantian Ke, Xiang Lv, Jiamiao Weng, Yuhong Zhong, Zhixin Huang, Miao Fu, Lilan Zhao, Fan Lin, Hui Mi, Haijun Tang, Chundong Yu, Yi Huang

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Recent Developments and Applications of Surface-Enhanced Raman Scattering Spectroscopy in Pesticides Detection: From Single Pesticides to Mixed Pesticides by Pengpeng Yu, Lixin Ma, Xiaonan Yang, Shanshan Xue, Zhepeng Zhang, Li Sun, Jianrong Cai

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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection by Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Madhu Nagaraj, Murlidhar Murlidhar, Ajit H. Goenka

“…Abstract Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. …”
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Design and Development of a Precision Defect Detection System Based on a Line Scan Camera Using Deep Learning by Byungcheol Kim, Moonsun Shin, Seonmin Hwang

“…In this paper, we design and develop a high-speed defect detection system based on a line-scan camera using deep learning. …”
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Development and validation of clinical vignettes to inform an educational intervention for physiotherapists to detect serious pathologies: a mixed-methods study by Gillian Yeowell, James Selfe, Bruno Mazuquin, Jessie Janssen, Wolfgang Lackenbauer, Simon Gasselich, Martina Edda Lickel, Lars Schabel, Reinhard Beikircher, Christian Keip, Manfred Wieser

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Development of an Intelligent Tablet Press Machine for the In-Line Detection of Defective Tablets Using Machine Learning and Deep Learning Models by Sun Ho Kim, Su Hyeon Han

“…<b>Objectives:</b> This study aims to develop a tablet press machine (TPM) integrated with machine learning (ML) and deep learning (DL) models for in-line detection of defective tablets as a Process Analytical Technology (PAT) tool. …”
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Development of a single‐nucleotide polymorphism panel genotyping system for genetic analysis of Chinese hamsters by Minghe Sun, Yafang Guo, Zhengnan Ren, Ang Song, Jing Lu, Changlong Li, Jianyi Lv, Meng Guo, Xin Liu, Xiaoyan Du, Zhaoyang Chen, Guohua Song, Yan He, Zhenwen Chen, Xueyun Huo

“…However, at present, there is no high‐efficiency method for evaluating the genetic quality of Chinese hamsters. Here, we developed a novel Chinese hamster genetic quality detection system using single‐nucleotide polymorphism (SNP) markers. …”
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