Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

“…Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that primarily affects memory, thinking, and behavior, leading to dementia, a severe cognitive decline. …”
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A 6-tsRNA signature for early detection, treatment response monitoring, and prognosis prediction in diffuse large B cell lymphoma by Jun Rao, Lin Xia, Qiong Li, NaYa Ma, Xinlei Li, Jiali Li, Lidan Zhu, Pan Zhao, Yunjing Zeng, Sha Zhou, Huanping Guo, Shijia Lin, Song Dong, Shifeng Lou, Fangyi Fan, Jin Wei, Jiang F. Zhong, Li Gao, Shengwen Calvin Li, Xi Zhang

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Accuracy of the Modified Finnish Diabetes Risk Score (Modified FINDRISC) for detecting metabolic syndrome: Findings from the Indonesian national health survey. by Indriastuti Cahyaningsih, M Rifqi Rokhman, Sudikno, Maarten J Postma, Jurjen van der Schans

“…<h4>Background</h4>This study evaluated the diagnostic accuracy of the Modified Finnish Diabetes Risk Score (Modified FINDRISC) for detecting individuals with metabolic syndrome in Indonesia.…”
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Analytical validation of a flow cytometric method for the detection and quantification of canine mast cells in peripheral blood, bone marrow, and lymph node by Giulia Iamone, Fulvio Riondato, Rachel Hanford, Amandine Lejeune, Amir Kol

“…This validation establishes a foundation for future studies on the prognostic implications of mast cell infiltration in MCT progression.…”
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A Radio Frequency Interference Screening Framework—From Quick-Look Detection Using Statistics-Assisted Network to Raw Echo Tracing by Jiayuan Shen, Bing Han, Yang Li, Zongxu Pan, Di Yin, Yugang Feng, Guangzuo Li

“…We take the data of Sentinel-1 terrain observation with progressive scan (TOPS) mode as an example. By combining the statistics-assisted network with the sliding-window algorithm and the error-tolerant training strategy, it is possible to accurately detect and locate RFI in the quick looks of an SLC product. …”
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Comprehensive analysis of faecal metagenomic and serum metabolism revealed the role of gut microbes and related metabolites in detecting colorectal lateral spreading tumours by Hao Lin, Yudai Chen, Ming Zhou, Hongli Wang, Lichun Chen, Li Zheng, Zhixin Wang, Xiaoling Zheng, Shiyun Lu

“…These results suggest that gut microbiota and metabolite alterations in LST contribute to intestinal inflammation and CRC development, underscoring their potential as biomarkers for early detection and therapeutic targets.…”
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Urinary 5-HIAA as a Potential Diagnostic Marker in Acute Appendicitis: A Preliminary Report of Its Promising Role in Early Detection by Murat Demir, Alper Gumus, Huseyin Kilavuz, Feyyaz Gungor, Sibel Yaman, Baki Ekci, Idris Kurtulus

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Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis by Rui Zhang, Juan Wang, Xiaonan Zhai, Yuanbing Guo, Lei Zhou, Xiaoyan Hao, Liu Yang, Ruiqing Xing, Juanjuan Hu, Jiawei Gao, Fengjuan Wang, Jun Yang, Jiayun Liu

“…Conclusions: Carnitine is integral in the progression of RA. The diagnostic model developed shows excellent diagnostic capacity, improving early detection and enabling timely intervention to minimize disability associated with RA.…”
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A novel fluorescent probe, triphenylamine rhodamine-3-acetic acid (mRA) for the detection of Amyloid-β aggregates in Alzheimer's disease by Raja Chinnappan, Raja Chinnappan, Mateen A. Khan, Taj Mohammad, Sarah Mohammed Allwaibh, Shanmugam Easwaramoorthi, Ahmed Yaqinuddin, Sandhanasamy Devansan, Tanveer Ahmad Mir, Tanveer Ahmad Mir, Imtaiyaz Hassan

“…This study provides a rationale for using mRA as a biosensor for the detection of Aβ aggregates in biological fluids, offering a potential tool for the early diagnosis and monitoring of amyloid progression in AD.…”
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A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…Accurate and early detection of plant diseases is essential for effective management and the advancement of sustainable smart agriculture. …”
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Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study by Myrthe van den Broek, M. Claire Greene, Anthony F. Guevara, Sandra Agondeze, Erimiah Kyanjo, Olivier Irakoze, Rosco Kasujja, Brandon A. Kohrt, Mark J. D. Jordans

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Development and evaluation of a CRISPR/Cas12a-based diagnostic test for rapid detection and genotyping of HR-HPV in clinical specimens by Lijuan Yin, Ziqian Zhao, Chunhua Wang, Caihong Zhou, Xiuzhen Wu, Baoxue Gao, Liangyuan Wang, Shuli Man, Xinkuan Cheng, Qiankun Wu, Siqi Hu, Hongxia Fan, Long Ma, Hui Xing, Liang Shen

“…Our platform enables the detection and genotyping of 14 types of HR-HPV by using type-specific crRNAs. …”
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Proposed Comprehensive Methodology Integrated with Explainable Artificial Intelligence for Prediction of Possible Biomarkers in Metabolomics Panel of Plasma Samples for Breast Canc... by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

“…Metabolomics technology is a feasible and comprehensive method for early disease detection and biomarker identification at the molecular level. …”
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“The problem is not detection, it is treatment”: exploring why women needing pre-cervical cancer care are lost to follow-up at the hospital in Iquitos, Peru by Alex C. Blum, Rachael Tessema, Lauren Nussbaum, Cristina Hidalgo, E. Jennifer Ríos López, Graciela Meza Sánchez, Rachel M. Morse, Joanna Brown, Reyles Ríos Reategui, Lucía Wong, Luis Díaz Córdova, Karina Gonzales Díaz, Renso López Liñán, Javier Vásquez Vásquez, J. Kathleen Tracy, Valerie A. Paz-Soldan

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Clinical characteristics and comparative analysis of PD-1/PD-L1 inhibitor-induced pituitary dysfunction versus other pituitary disorders by Yan Xiao, Deyue Jiang, Shengjie Wang, Lei Fu, Lingtong Ye, Erhan Zheng, Zhaohui Lv, Yiming Mu, Wenwen Gong, Qinghua Guo

“…Abstract This study aims to investigate the clinical characteristics of programmed cell death protein-1 (PD-1) or programmed cell death ligand-1 (PD-L1) inhibitors-induced pituitary injury (pituitary-irAE) by comparing with other pituitary diseases. …”
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Investigation and response to a type 3 vaccine-derived poliovirus detected in an infant with hand, foot, and mouth disease — Guangdong, China, 2023 by Jialing Li, Lance E. Rodewald, Wei Zhang, Jian Liang, Xiaoping Shao, Qi Zhu, Jun Liu, Limei Sun, Jianfeng He

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Effect of integrating paediatric tuberculosis services into child healthcare services on case detection in Africa: the INPUT stepped-wedge cluster-randomised trial by Lise Denoeud-Ndam, Rhoderick Machekano, Anne Cecile Bissek, Rose Masaba, Millicent Ouma, Saint Just Petnga, Martina Casenghi, Appolinaire Tiam, Stephen Siamba, Nicole Herrera, Patrice Tchendjou, Leonie Simo, Boris Kevin Tchounga, Gordon Odhiambo Okomo

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Prospective Validation of Glial Fibrillary Acidic Protein, d‐Dimer, and Clinical Scales for Acute Large‐Vessel Occlusion Ischemic Stroke Detection by Yasir Durrani, Jakob V. E. Gerstl, Danielle Murphy, Ashley Harris, Imane Saali, Toby Gropen, Shashank Shekhar, Ari D. Kappel, Nirav J. Patel, Rose Du, Rodolfo E. Alcedo Guardia, Juan C. Vicenty‐Padilla, Adam A. Dmytriw, Vitor Mendes Pereira, Saef Izzy, Allauddin Khan, Mohammed A. Aziz‐Sultan, David S. Liebeskind, Jason M. Davies, Adnan H. Siddiqui, Edoardo Gaude, Joshua D. Bernstock

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Evaluation of low-cost techniques to detect sickle cell disease and β-thalassemia: an open-label, international, multicentre studyResearch in context by Pranav Shrestha, Hendrik Lohse, Christopher Bhatla, Heather McCartney, Alaa Alzaki, Navdeep Sandhu, Pardip Kumar Oli, Sanjeev Chaudhary, Ali Amid, Rodrigo Onell, Nicholas Au, Hayley Merkeley, Videsh Kapoor, Rajan Pande, Boris Stoeber

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In situ monitoring tool of phycotoxins: Research progress of solid phase adsorption toxin tracking (SPATT)(原位藻毒素监测工具：固相吸附毒素跟踪技术研究进展) by 张文广(ZHANG Wenguang), 渠佩佩(QU Peipei), 李冬梅(LI Dongmei), 徐轶肖(XU Yixiao), 周国伟(ZHOU Guowei), 佟蒙蒙(TONG Mengmeng)

“…This paper reviews the key process and application progress of SPATT in marine phycotoxins adsorption, summarizes the physicochemical properties, application scenarios and screening methods of different macroporous resins, describes the preparation method and pretreatment procedure of SPATT resin bags/discs, compares the extraction and analysis methods of phycotoxins adsorbed by different resins and puts forward suggestions in toxin monitoring, sample handling and laboratory detection of SPATT based on the structural characteristics of toxins and practical experience, aiming to provide reference for SPATT application in phycotoxins monitoring and safety warning of aquatic products.固相吸附毒素跟踪（solid phase adsorption toxin tracking，SPATT）技术利用合成大孔树脂模拟滤食贝类的摄食过程，实现对藻毒素的原位被动吸附。…”
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