Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Machine learning algorithms assist in real-time polyp detection, classification, and predictive analytics, enhancing diagnostic accuracy while reducing inter-observer variability and human error. …”
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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The use of computer-aided automated diagnostics can assist nephrologists in early detection and accurate classification, which are essential for improving patient outcomes. …”
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A Technology for Isolation and Analysis of Lipophilic and Hydrophilic Biologically Active Components from <i>N. sativa</i> L. Seeds. by S. V. Goryainov, C. Esparza, V. A. Ivlev, D. I. Pisarev, G. Bacorese, R. A. Abramovich, O. O. Novikov, O. G. Potanina, S. Lazar, A. V. Khromov, N. N. Boyko

“…The following methods were used as analytical methods: gas-liquid chromatography with a flame ionization detector - for the analysis of sterols and triterpenes; chromatography-mass spectrometry (gas-liquid chromatography with mass spectrometric detection) - for the study of essential oil; chromatography-mass spectrometry (high performance liquid chromatography with mass spectrometric detection) - to study flavonoids. …”
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Deep learning techniques for speech emotion recognition: A review by Silviana Widya Lestari, Saliyah Kahar, Trismayanti Dwi

“…The results of this review show that the application of deep learning techniques has made significant progress in the introduction of speech emotion detection. Complex deep learning models, for instance the CNN-RNN combination, can extract relevant acoustic features and produce accurate results in recognizing emotion from speech. …”
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Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations by Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora, R. Manjunatha, Debasish Shit, Shirin Shomurotova, Akshay Kumar, Atreyi Pramanik, Ajay Sharma, Raed H. C. Alfilh, Samim Sherzod, Mohammad Mahtab Alam

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Can Saccade and Vergence Properties Discriminate Stroke Survivors from Individuals with Other Pathologies? A Machine Learning Approach by Alae Eddine El Hmimdi, Zoï Kapoula

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Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial by Marie Keinert, Lena Schindler-Gmelch, Lydia Helene Rupp, Misha Sadeghi, Klara Capito, Malin Hager, Farnaz Rahimi, Robert Richer, Bernhard Egger, Bjoern M. Eskofier, Matthias Berking

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Thermo Scientific Hardware to Optimize the Transfer of HPLC Methods from the Agilent 1260 Infinity System to the UltiMate 3000 SD and the Vanquish Flex UHPLC system by article Editorial

“…Purpose of the article: To demonstrate the direct transfer of analytical HPLC methods from an Agilent™ 1260 Infinity system to the UltiMate 3000 platform and the Vanquish platform.This article demonstrates the benefits of the UltiMate 3000 and Vanquish platforms for direct transfer of HPLC methods, as required by the USP.Flexible control of total system volume on Thermo Scientific™ UltiMate™ 3000 systems and Thermo Scientific™ Vanquish™ UHPLC systems simplifies the transfer of analytical HPLC methods.The advanced hardware features of the Thermo Scientific™ Vanquish™ LC system allow flexible adjustment of the total system gradient hold volume to facilitate fine tuning during transfer.Equivalent chromatographic results are obtained with both systems, but improved system resolution and repeatability are provided by the Thermo Scientific™ Vanquish™ System.If detection sensitivity is a critical issue, then Thermo Scientific™ LightPipe™ technology is the optimal solution.…”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…Clinical informatics is an interdisciplinary field that integrates healthcare, information technology, and data analytics to improve patient care, clinical decision-making, and medical research. …”
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Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B by Yuliang Zhao, Tingting Sun, Huawei Zhang, Chao Lian, Zhongpeng Zhao, Yongqiang Jiang, Huiqi Duan, Yuhao Ren, Xuyang Sun, Zhikun Zhan, Mingyue Qu, Shaolong Chen

“…This method can detect antigen concentrations at both ng/mL and μg/mL levels, with a detection limit of 1 ng/mL. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

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Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies by Vijay Kumar Damera, Ramesh Cheripelli, Narsaiah Putta, G. Sirisha, Deepthi Kalavala

“…The proposed TL-SAM framework effectively extracts spatial and spectral features from patient health data, optimizing classification accuracy. …”
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Transformer Oil Acid Value Prediction Method Based on Infrared Spectroscopy and Deep Neural Network by Linjie Fang, Chuanshuai Zong, Zhenguo Pang, Ye Tian, Xuezeng Huang, Yining Zhang, Xiaolong Wang, Shiji Zhang

“…The traditional detection method of transformer oil acid value has limitations, such as long detection period and toxicity of reagents; while, with the traditional spectral analysis, it is difficult to realize the efficient extraction of key features related to the acid value content. …”
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Fall prediction based on biomechanics equilibrium using Kinect by Xu Tao, Zhou Yun

“…Current studies mainly focus on the fall detection, which helps medical staffs bring a fallen elder out of danger in time. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…In this study, we develop a repeatable procedure for detecting cyber-attacks in an accurate, scalable, and timely manner. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…Additionally, three machine learning methods—Random Forest (RF), LASSO regression, and Support Vector Machine Recursive Feature Elimination (SVM-RFE)—were employed for feature selection and to evaluate the robustness and predictive power of the selected features, with diagnostic efficacy evaluated through Receiver Operating Characteristic (ROC) curves. …”
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SCANIA Component X dataset: a real-world multivariate time series dataset for predictive maintenance by Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna

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A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan by Bingyue Dong, Weiyang Chen

“…In experiments, WormYOLO segmented images, followed by a feature point extraction algorithm to identify changes in worm skeleton positions, ultimately quantifying behavioral features with a counting algorithm. …”
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Terahertz ribbon waveguide for sensing electrolyte concentration in phosphate-buffered saline solution by Ja-Yu Lu, Pin-Jung Lu, Borwen You

“…The simple and cost-effective PRW-based sensing approach enables efficient detection of trace analytes over a short interaction length, which is the critical feature to be well-suited for various biochemical sensing applications.…”
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Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility... by Pantea Keikhosrokiani, Johanna Annunen, Jonna Komulainen-Ebrahim, Jukka Kortelainen, Mika Kallio, Päivi Vieira, Minna Isomursu, Johanna Uusimaa

“…The current digital care pathway for epilepsy (DCPE) lacks the integration of data-driven seizure detection, which could potentially enhance epilepsy treatment and management. …”
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