Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems by Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park

“…Machine learning has emerged as an essential tool for data interpretation and real‐time decision‐making through addressing challenges in broad data integration, feature extraction, and predictive modeling. Implementation of machine learning to multimodal devices extend their capabilities beyond conventional biosensors, performing crossmodal correlation analysis, real‐time anomaly detection, and situation‐dependent feedback. …”
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Wearable Artificial Intelligence for Sleep Disorders: Scoping Review by Sarah Aziz, Amal A M Ali, Hania Aslam, Alaa A Abd-alrazaq, Rawan AlSaad, Mohannad Alajlani, Reham Ahmad, Laila Khalil, Arfan Ahmed, Javaid Sheikh

“…ObjectiveThis scoping review aims to provide an overview of AI-powered wearable devices used for sleep disorders, focusing on study characteristics, wearable technology features, and AI methodologies for detection and analysis. …”
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RT-QuIC: a highly promising diagnostic method for neurodegenerative diseases—advantages and limitations by D. Koníčková, D. Koníčková, D. Hraboš, D. Hraboš, D. Hraboš, D. Hraboš, D. Hraboš, K. Menšíková, K. Menšíková, K. Menšíková, L. Tučková, L. Tučková, L. Tučková, L. Tučková, M. Kaleta, M. Kaleta, M. Strnad, M. Strnad, C. Colosimo, P. Kaňovský, P. Kaňovský, P. Kaňovský

“…To overcome these limitations, novel analytical seed amplification assays (SAAs) were introduced, and they quickly became one of the most effective diagnostic tools for antemortem detection of α-synucleinopathies. …”
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HER-2-Targeted Electrochemical Sensors for Breast Cancer Diagnosis: Basic Principles, Recent Advancements, and Challenges by Leila Kudreyeva, Fatima Kanysh, Aliya Sarsenbayeva, Moldir Abu, Duisek Kamysbayev, Kamilya Kedelbayeva

“…Key sensor parameters for the detection of breast cancer biomarkers are compared, such as the detection limit, linear detection range, response time, sensitivity, and other characteristics depending on the analyte being analyzed. …”
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Enhanced Early Autism Screening: Assessing Domain Adaptation with Distributed Facial Image Datasets and Deep Federated Learning by Shafiul Alam, Muhammad Mahbubur Rashid

“…This work is a significant and remarkable contribution to early autism screening research due to its unique novel dataset, analytical methods, and focus on data confidentiality. …”
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Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis by Wu Z, Mo S, Huang Z, Zheng B

“…The purpose of this research is to determine the diagnostic value and therapeutic potential of the endoplasmic reticulum stress (ERS) genes in CAD.Methods: The clinical information and RNA sequence data were obtained from the GEO database and subsequently subjected to a series of optimization and visualization processes using various analytical techniques, including WGCNA, LASSO, SVM-RFE feature selection, random forest (RF), and XGBoost, as well as R software and Cytoscape. …”
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COMPARATIVE CHARACTERISTICS OF PIGMENT COMPOSITION FROM RAW MATERIALS AND OIL EXTRACT OF NETTLE LEAVES by O. V. Trineeva, A. I. Slivkin

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The Role of ctDNA for Diagnosis and Histological Prediction in Early Stage Non-Small-Cell Lung Cancer: A Narrative Review by Carolina Sassorossi, Jessica Evangelista, Alessio Stefani, Marco Chiappetta, Antonella Martino, Annalisa Campanella, Elisa De Paolis, Dania Nachira, Marzia Del Re, Francesco Guerrera, Luca Boldrini, Andrea Urbani, Stefano Margaritora, Angelo Minucci, Emilio Bria, Filippo Lococo

“…<b>Results:</b> In this review, we summarize the increasing evidence suggesting that ctDNA has potential clinical applications in the management of patients with early stage NSCLC. ctDNA levels in early stage cancers are very low, posing many technical challenges in improving the detection rate and sensitivity, especially in clinical practice, if it is to be implemented for early detection. …”
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SLAM-based localization method of coal mine underground robot with adaptability to dark illumination environment by Song JIANG, Zhixiang CUI, Bibo DAI, Binjian RAO, Runfeng HE, Haoyu WANG

“…Based on the ORB–SLAM3 framework, the whole local image detection is introduced to screen the input image, and an improved IMU initialization strategy based on analytical solution is introduced to improve the initialization speed, and the improved image enhancement network is transplanted to enhance the low illumination and uneven illumination images. …”
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Predicting Soccer Player Salaries with Both Traditional and Automated Machine Learning Approaches by Davronbek Malikov, Pilsu Jung, Jaeho Kim

“…Despite the increasing use of performance data in sports analytics, a critical gap remains in establishing fair compensation models that comprehensively account for both quantifiable and intangible contributions. …”
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Activity Analysis of the Economic Entity and Digital Culture by E. B. Gerasimova

“…Detection of the positive features and disadvantages of digitalisation of the economy. …”
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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam Tejani

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Label-Free Extended Gate Field-Effect Transistor for Sensing Microcystin-LR in Freshwater Samples by Sondavid Nandanwar, Songyi Lee, Myeongkee Park, Hak Jun Kim

“…The detection limit and analytical sensitivity of the biosensor for MC-LR were found to be 0.134 ng/mL and 0.024 ng/mL, respectively. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…The emergence of extensive open datasets and big data analytics has enabled the development of more robust models. …”
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A metric learning method for estimating myelin content based on T2-weighted MRI from a de- and re-myelination model of multiple sclerosis. by Glen Pridham, Shahnewaz Hossain, Khalil S Rawji, Yunyan Zhang

“…Further, the area under the receiver operator characteristic curve of our unsupervised myelin feature (0.883, 95% CI: 0.874-0.891) was significantly better than any of the supervised models in detecting white matter myelin as compared to histology. …”
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Identifying hotspots and classifying the spatial distribution pattern of karst collapse pillars with Moran’s index in coal mine by Junsheng Yan, Junsheng Yan, Junsheng Yan, Zaibin Liu, Zaibin Liu, Zaibin Liu, Zaibin Liu, Hui Yang, Hui Yang, Hui Yang, Lin An, Lin An, Lin An, Wei Li, Tiantian Wang, Qian Xie, Qian Xie, Qian Xie, Chenguang Liu, Chenguang Liu, Chenguang Liu, Chenguang Liu

“…The method integrates morphological feature analysis of KCPs with a combined weighting scheme using the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM). …”
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Nanocrystal electrochemiluminescence Biosensor: Paving the way from lab discovery to market innovation by Abhishek Kumar, Sanket Goel

“…A biosensor is considered ideal for detecting molecules if enriched with specific characteristics crucial for accurate outputs, namely low detection limit, high sensitivity, selectivity to target analyte, reproducibility and repeatability, and performance in real samples. …”
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Preoperative submaximal cardiopulmonary exercise testing and its association with early postoperative complications by Zyad J. Carr, Jean Charchaflieh, Andres Brenes-Bastos, Hugo He, Hung-Mo Lin, Amanda Jankelovits, Emily Gu, Jill Zafar, Fed Ghali, Wei S. Tan, Paul Heerdt

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Local laser fluence estimation in optical resolution optoacoustic angiography employing calibrated ultrasound detector by Daria Voitovich, Alexey Kurnikov, Anna Orlova, Aleksej Petushkov, Liubov Shimolina, Anastasia Komarova, Marina Shirmanova, Yu-Hang Liu, Daniel Razansky, Pavel Subochev

“…The effects of ultrasound generation propagation and detection were accounted for using analytical estimations and numerical simulations, while detector's NEP was experimentally measured with a calibrated hydrophone. …”
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Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms by Han Jiang, Peipei Wen, Yikai Fan, Yi Zhang, Chunfang Li, Chu Chu, Haitong Wang, Yue Zheng, Chendong Yang, Guie Jiang, Jianming Li, Junqing Ni, Shujun Zhang

“…In this study, models were established by using 12 pre-processing methods, artificial feature selection methods, and partial least squares regression. …”
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