Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models by Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey, Tazizur Rahman

“…And four of them are more progressive, sophisticated methods including the convolutional neural network (CNN) model, diagnostic autism spectrum disorder (DASD) strategy, Ensemble Diagnosis Methodology (EKNN), and Self-Organizing Maps (SOM). …”
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Comparative Analysis of Linear and Nonlinear sEMG Methods for Detecting Muscle Fatigue During Dynamic Biceps Curls by Tang Ming, Ling Weay Ang, Sellappan Palaniappan

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Detection of High-Risk Human Papillomavirus in Bladder Cancer: An Exploratory Study from a UK-Based Population by Mohammed Yahya Ahmed, Muharrem Okan Cakir, Sarbjinder Sandhu, G. Hossein Ashrafi

“…<b>Results</b>: HR-HPV DNA was detected in 33% of bladder cancer specimens, with HPV16, HPV35, and HPV52 being the most prevalent types. …”
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Neutrophil gelatinase-associated lipocalin as a biomarker for detection of early renal impairment in Iraqi patients with multiple myeloma by Alea Farhan Salman, Eham Amer Ali, Eham Amer Ali, Alaa Fadhil Alwan

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Complementary Metal Oxide Semiconductor-Based Optical Detection System for Fluidic Cellular Medium pH Quantification by André A. Santos, Gabriel M. Ferreira, Paulo J. Sousa, Patrícia C. Sousa, Susana O. Catarino, Graça Minas

“…This work proposes a miniaturized optical detection system, based on optical transmittance, for pH level quantification of the EGM™-2 Endothelial Cell Growth Medium-2 BulletKit™ culture medium. …”
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Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning by Pengbo Zhao, Cheng Lian, Bingrong Xu, Yixin Su, Zhigang Zeng

“…However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection challenging. We thus propose a multimodal physiological signal detection model based on self-supervised learning. …”
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Description of a New Simple and Cost-Effective Molecular Testing That Could Simplify MUC1 Variant Detection by Victor Fages, Florentin Bourre, Romain Larrue, Andrea Wenzel, Jean-Baptiste Gibier, Fabrice Bonte, Claire-Marie Dhaenens, Kendrah Kidd, Stanislav Kmoch, Anthony Bleyer, François Glowacki, Olivier Grunewald

“…Introduction: Patients with autosomal dominant tubulointerstitial kidney disease (ADTKD) usually present with nonspecific progressive chronic kidney disease (CKD) with mild to negative proteinuria and a family history. …”
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Detection of high-risk human papillomavirus genotypes 58 and 59 among oral squamous cell carcinoma patients by Snigdha Maity, Sreeraj Surendran, Prachi Malasane, Ujwal Shetty, Rithesh K. B., Priyanka Shetty, Prahlad Shetty, Monisha J. Shetty, Nikitha S., V. Vaishnavi, Chiranjay Mukhopadhyay, Vijaya Hegde, Anitha Jagadesh

“…The current research aimed to detect different high-risk HPV genotypes among OSCC and OPSCC patients attending a tertiary care hospital in Mangalore, India. …”
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First Report of SNPs Detection in TMEM154 Gene in Sheep from Poland and Their Association with SRLV Infection Status by Magdalena Materniak-Kornas, Katarzyna Piórkowska, Katarzyna Ropka-Molik, Adrianna Dominika Musiał, Joanna Kowalik, Anna Kycko, Jacek Kuźmak

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“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study by Andre Briosa e Gala, Michael T. B. Pope, Milena Leo, Alexander J. Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S. Gardner, David Wilson, Mark M. Gallagher, Julian Ormerod, John Paisey, Nick Curzen, Timothy R. Betts

“…Abstract Introduction The novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P‐wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confirm Rx™ ICM in detecting AF episodes of varying durations. …”
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Development of Enzyme-Mediated Duplex Exponential Amplification Assay for Detection and Identification of <i>Meloidogyne enterolobii</i> in Field by Bingxue Sun, Bo Gao, Rongyan Wang, Shulong Chen, Xiuhua Li, Yonghao Dong, Juan Ma

“…The established detection method employs a 42 °C isothermal amplification technology paired with a palm-sized thermal module, enabling field-deployable detection. …”
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Closing Gaps in Chronic Kidney Disease Detection: Evaluating At-Home Targeted Testing in a Safety-Net Population by Megan Schultz, Katelyn Laue, Nicole Bryer, Andrew Bzowyckyj, Anuja Java, Leslie Lake, Elizabeth Talbot-Montgomery, Brit Sovic, Bri’Anna Watson, Joseph A. Vassalotti

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Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification by Ahlem Aziz, Necmi Serkan Tezel, Seydi Kaçmaz, Youcef Attallah

“…<b>Background/Objectives:</b> Diabetic retinopathy (DR) remains one of the primary causes of preventable vision impairment worldwide, particularly among individuals with long-standing diabetes. The progressive damage of retinal microvasculature can lead to irreversible blindness if not detected and managed at an early stage. …”
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Clinical application and evaluation of metagenomic next-generation sequencing in pathogen detection for suspected central nervous system infections by Lei Yuan, Xin Yu Zhu, Lan Min Lai, Qiang Chen, Yang Liu, Rui Zhao

“…Abstract Central nervous system Infections (CNSIs) is a disease characterized by complex pathogens, rapid disease progression, high mortality rate and high disability rate. …”
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Predictive nomogram for early detection of invasive fungal disease deterioration --- a 10-year retrospective cohort study by Wei Wang, Yan Li, Hua Wang, Yumeng Du, Mengyuan Cheng, Jinyan Tang, Mingliang Wu, Chaomin Chen, Qingwen Lv, Weibin Cheng

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Artificial intelligence versus manual screening for the detection of diabetic retinopathy: a comparative systematic review and meta-analysis by Hasan Nawaz Tahir, Naseer Ullah, Mursala Tahir, Inbaraj Susai Domnic, Ramaprabha Prabhakar, Semmal Syed Meerasa, Ahmed Ibrahim AbdElneam, Ahmed Ibrahim AbdElneam, Shahnawaz Tahir, Yousaf Ali

“…BackgroundDiabetic retinopathy is one of the leading causes of blindness globally, among individuals with diabetes mellitus. Early detection through screening can help in preventing disease progression. …”
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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“… BackgroundThe prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. …”
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Clinical Practice Guideline for detection and management of diabetic kidney disease: A consensus report by the Spanish Society of Nephrology by Nuria Montero, Laia Oliveras, Alberto Martínez-Castelao, José Luis Gorriz, María José Soler, Beatriz Fernández-Fernández, Maria Quero, Clara García-Carro, Paula Garcia-Sancho, Marian Goicoechea, Juan Jose Gorgojo Martínez, Pablo Molina, María Jesús Puchades, Diana Rodríguez-Espinosa, Nery Sablón, Rafael Santamaría, Juan Francisco Navarro-González

“…To address all the changes in the management of people with diabetes (DM) and chronic kidney disease (CKD), under the auspices of the Spanish Society of Nephrology (SEN), the Spanish Diabetic Nephropathy Study Group (GEENDIAB) decided to publish an updated Clinical Practice Guideline for detection and management of diabetic kidney disease (DKD). …”
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Fibroblast Growth Factor Receptor 4 Promotes Triple‐Negative Breast Cancer Progression via Regulating Fatty Acid Metabolism Through the AKT/RYR2 Signaling by Jinhui Ye, Song Wu, Qiang Quan, Feng Ye, Jinhui Zhang, Cailu Song, Yidan Fan, Huijiao Cao, Hailin Tang, Jianfu Zhao

“…However, the potential role and underlying mechanisms of FGFR4 in the progression of TNBC remain unclear. Methods Statistical analysis of FGFR4 expression data in public databases was used to reveal its role in TNBC. qRT‐PCR was used to detect FGFR4 expression levels. …”
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circPTN Promotes the Progression of Non-Small Cell Lung Cancer through Upregulation of E2F2 by Sponging miR-432-5p by Jiayuan Su, Jinrong Zhou, Yachan Feng, Haojie Zhang, Xinyu Zhang, Xiaorong Zhao, Yong Li, Xueling Guo

“…Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting (WB) analysis were used to detect gene and protein expression, respectively. …”
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