Screening colorectal cancer associated autoantigens through multi-omics analysis and diagnostic performance evaluation of corresponding autoantibodies by Zan Qiu, Yifan Cheng, Haiyan Liu, Tiandong Li, Yinan Jiang, Yin Lu, Donglin Jiang, Xiaoyue Zhang, Xinwei Wang, Zirui Kang, Lei Peng, Keyan Wang, Liping Dai, Hua Ye, Peng Wang, Jianxiang Shi

“…Ten machine learning algorithms were utilized to develop diagnostic models, with the optimal one selected and integrated into an R Shiny-based GUI to enhance usability and accessibility. …”
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Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study by Guangyu Lu, Zhixia Su, Xiaoping Yu, Yuhang He, Taining Sha, Kai Yan, Hong Guo, Yujian Tao, Liting Liao, Yanyan Zhang, Guotao Lu, Weijuan Gong

“…We applied five machine learning (ML) algorithms to develop predictive models which were evaluated using area under the curve (AUC), sensitivity, specificity, and other relevant metrics. …”
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Exploring Machine Learning and Deep Learning Approaches for Battery Management Systems in EVs: A Comprehensive Review by Sathish J., Ramash Kumar K., Saraswathi D.

“…Machine learning and deep learning algorithms mimic humans by focusing on statistical data and algorithms on a real-time basis. …”
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Exploring Different Dynamics of Recurrent Neural Network Methods for Stock Market Prediction - A Comparative Study by Ajit Mohan Pattanayak, Aleena Swetapadma, Biswajit Sahoo

“…The application aims to leverage advanced LSTM algorithms to analyze historical market data, recognize patterns, and provide real-time insights. …”
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Artificial Intelligence in Pediatric Orthopedics: A Comprehensive Review by Andrea Vescio, Gianluca Testa, Marco Sapienza, Filippo Familiari, Michele Mercurio, Giorgio Gasparini, Sergio de Salvatore, Fabrizio Donati, Federico Canavese, Vito Pavone

“…In trauma care, object detection models like YOLO and ResNet-based classifiers showed excellent sensitivity and specificity in pediatric fracture detection. …”
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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…The primary outcome will be the development of machine-learning algorithms to predict depression and anxiety based on these digital biomarkers. …”
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Model of a Novel PCB Coil for High-Sensitivity Metal Detector by Han Zhang, Mingxing Song, Yuejiu Zhu, Xianze Xu, Fengqiu Xu

“…Metal detectors detect hidden metal objects through electromagnetic induction. …”
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Methodics and tools of cough sound processing on basic of neural net by U. A. Vishniakou, Bahaa Shaya

“…The purpose of the article is to analyze the methods and means of processing cough sounds to detect lung diseases, as well as to describe the developed system for classifying and detecting cough sounds based on a deep neural network. …”
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Comparative assessment of line probe assays and targeted next-generation sequencing in drug-resistant tuberculosis diagnosisResearch in context by Giovanna Carpi, Marva Seifert, Andres De la Rossa, Swapna Uplekar, Camilla Rodrigues, Nestani Tukvadze, Shaheed V. Omar, Anita Suresh, Timothy C. Rodwell, Rebecca E. Colman

“…Interpretation: LPAs demonstrated lower sensitivity and more limited drug resistance detection compared to tNGS workflows, underscoring the advantages of tNGS for improving DR-TB diagnostic algorithms. …”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Land leveling technology can improve the growing environment of rice and increase the land utilization rate, and the current land leveling technology through digital sensing and path planning technology, which improves the operational efficiency and reduces the production cost at the same time. Soil nutrient detection technology is mainly detected by electrochemical analysis and spectral analysis, but both methods have their advantages and disadvantages, how to integrate the two methods to achieve an all-round detection of soil nutrient content is the main direction of future research. …”
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Artificial intelligence in pathologic myopia: a review of clinical research studies by Xinying He, Yun Wang, Xiaojun Zhang, Wei Chi, Weihua Yang

“…Recent advancements in artificial intelligence (AI), particularly in machine learning and deep learning algorithms, have shown promising results in the field of PM in ophthalmology. …”
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Diagnosis and peculiarities of the treatment of pacemaker-mediated tachycardia by О.І. Семенюк, М.С. Сороківський, У.П. Черняга-Ройко, О.Й. Жарінов

“…To prevent the occurrence of PMT, it is necessary to be familiar with the antitachycardia algorithms of various pacemaker models. It is primarily recommended to always activate the algorithms for automatic detection and elimination of PMT, which is usually sufficient for the proper functioning of the device. …”
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The Application of Lempel-Ziv Complexity in Medicine Science, Nature Science, Social Science, and Engineering: A Review and Prospect by Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Yongbo Li

“…Lempel-Ziv complexity (LZC) is an algorithm used to quantify the complexity of a data sequence by calculating the number of independent substrings contained in the sequence. …”
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Microwave Sensors and Their Applications in Permittivity Measurement by Changjun Liu, Chongwei Liao, Yujie Peng, Weixin Zhang, Bo Wu, Peixiang Yang

“…With the alternation of metamaterials, microfluidics technologies, cross-technology, algorithms, and so on, sensors play an exceptionally prominent role in practical and low-cost applications.…”
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Modern Condition Monitoring Systems for Railway Wheel-Set Dynamics: Performance Analysis and Limitations of Existing Techniques by Khakoo Mal, Imtiaz Hussain, Tayab Din Memon, Dileep Kumar, Bhawani Shankar Chowdhry

“…The core element of a CMS is the use of suitable algorithms to evaluate system behavior for achieving a solution to avoid accidents of railway vehicles. …”
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Recurrent Spontaneous Bilateral Subdural Hemorrhage as a Consequence of High-Cervical Spontaneous CSF Leak—Lessons for Neurosurgeons by Venugopal Subramaniam, Sibhi Ganapathy, S. Shivananda, K. N. Nagabhushan, Raghu Murthy

“…We present a review of literature and an algorithm to detect the elusive CSF leak and effect definitive treatment, either open or EBP, to treat the source of the problem.…”
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Load identification method based on one class classification combined with fuzzy broad learning by Wang Yi, Wang Xiaoyang, Li Songnong, Chen Tao, Hou Xingzhe, Fu Xiuyuan

“…The experimental results show that the algorithm proposed in this paper can effectively detect unknown electrical appliances, prevent model misjudgment, and get better results for both single-load and multi-load switching.…”
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Characteristics of clinical, laboratory, and immunological manifestations in patients with anticentromere antibody-associated Sjögren's disease by B. D. Chaltsev, V. I. Vasilyev, S. G. Palshina, A. V. Torgashina, E. V. Sokol, Yu. I. Khvan, E. B. Rodionova, T. N. Safonova, S. V. Lapin, O. Yu. Tkachenko, A. V. Mazing

“…Objective: to study clinical and laboratory features in patients with anticentromere antibody (ACA)-positive SjЪgren's disease (SD), as well as the sensitivity of different methods for determination of ACA, and to elaborate an algorithm for differential diagnosis in ACA-positive patients.Patients and methods. …”
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On the Forward Scattering of Microwave Breast Imaging by Hoi-Shun Lui, Andreas Fhager, Mikael Persson

“…Microwave imaging for breast cancer detection has been of significant interest for the last two decades. …”
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In-situ real-time monitoring of flavonoids extraction from propolis extracts based on near infrared spectroscopy by WANG Wuli, MA Haile, LI Han, ZHANG Yong, XIA Hong

“…ObjectiveFor the residue of propolis after supercritical CO2 extraction, the content of flavonoids in the secondary extraction process was detected in real time.MethodsNear-infrared spectroscopy was used to establish a quantitative analysis model by collecting the spectral information and the corresponding chemical values of flavonoids during the extraction process, which was used to detect the changesof flavonoids content in real time and to determine the end point of extraction.ResultsThe Rc (corrected correlation coefficient) and RMSEC (corrected root mean square error) of the model constructed by the PLS (partial least squares) algorithm after normalization preprocessing were 0.999 1 and 0.044 5, respectively. …”
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