Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data by Masahiro Hata, Yuki Miyazaki, Kohji Mori, Kenji Yoshiyama, Shoshin Akamine, Hideki Kanemoto, Shiho Gotoh, Hisaki Omori, Atsuya Hirashima, Yuto Satake, Takashi Suehiro, Shun Takahashi, Manabu Ikeda

“…This study aims to find a noninvasive, cost-effective method using portable electroencephalography (EEG) to detect changes in AD-related biomarkers in cerebrospinal fluid (CSF). …”
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Novel CYCLIN‐O pathogenic variants in a patient presenting with bronchiectasis secondary to reduced generation of multiple motile cilia by Kim Hoong Yap, Albert Yick Hou Lim, Biju Thomas, Carine Bonnard, Emmanuelle Szenker‐Ravi, Yan Ling Chong, Sudipto Roy, Bruno Reversade

“…Heightened clinical suspicion and adherence to established diagnostic algorithms are essential for timely recognition of this entity.…”
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Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China by Kuangda Cui, Kuangda Cui, Jianli Ding, Jianli Ding, Jinjie Wang, Jinjie Wang, Jiao Tan, Jiao Tan, Lijing Han, Jiangtao Li, Jiangtao Li

“…Using a random forest algorithm, soil salinity was classified into five levels based on satellite data and ground references from 2000–2020. …”
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Computed tomography in terms of thoracic outlet syndrome diagnosis by L. A. Titova, A. A. Gridsay, E. M. Tolstykh, S. I. Marks, N. V. Ischenko, M. V. Anisimov, A. Yu. Goncharova, I. A. Baranov, L. A. Haetskaya

“…Thoracic outlet syndrome (TOS) comprises a group of clinical syndromes caused by congenital or acquired compression of the brachial plexus or subclavian vessels during their passage through the superior thoracic aperture.Clinical manifestations vary by TOS type: neurogenic form (arm pain/paresthesia, hand muscle weakness, thenar atrophy), venous form (limb edema/cyanosis, visible collaterals, subclavian vein thrombosis), arterial form (arm ischemia, distal emboli, subclavian artery aneurysms).The modern diagnostic algorithm includes physical examination (Edson test, Wright test, hyperabduction test) and instrumental diagnostic methods. …”
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Multimodal prediction of the need of clozapine in treatment resistant schizophrenia; a pilot study in first-episode psychosis by Jonatan M. Panula, Athanasios Gotsopoulos, Jussi Alho, Jaana Suvisaari, Maija Lindgren, Tuula Kieseppä, Tuukka T. Raij

“…The accuracy of the neural network model was significantly higher than the accuracy of a support vector machine algorithm. These results support the notion that treatment resistant schizophrenia could represent a separate entity of psychotic disorders, characterized by morphological and functional changes in the brain which could represent biomarkers detectable at early onset of symptoms.…”
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A 1Mbps Real-Time NLOS UV Scattering Communication System With Receiver Diversity Over 1km by Guanchu Wang, Kun Wang, Chen Gong, Difan Zou, Zhimeng Jiang, Zhengyuan Xu

“…We design and demonstrate an NLOS UV scattering communication system in this paper, where the receiver-side signal detection is designed based on a discrete-time Poisson channel model. …”
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Fertile window and biophysical biomarkers of cervical secretion in subfertile cycles: a look at biotechnology applied to NaProTechnology by José María Murcia Lora, Oscar Martínez Martínez, Jennifer Simoni, Marian Martínez Calvo, Alberto Falces de Andrés, Jorge Enrique Mejía, Diglio Simoni, Juan Luis Alcázar

“…Conclusions: We conclude that the assessment of viscoelasticity using SFW algorithm allowed in this pilot study to detect the fertile window and to describe the evolution pattern of cervical discharge throughout the fertile window. …”
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Antifungal Metabolites from High-Altitude Soil Actinomycetes Isolated from Nepal by Sagar Aryal, F.P. Jake Haeckl, Rameshwar Adhikari, Balmukunda Regmi, Dev Raj Joshi

“…A rotary evaporator was used to isolate the crude extract and antifungal metabolites were detected using UPLC-MS/MS. The LC-MS data were processed using the T-ReX 3D algorithm in MetaboScape 2022b, and GNPS spectral library was used to annotate the features. …”
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AI may help to predict thyroid nodule malignancy based on radiomics features from [18F]FDG PET/CT by Krystian Ślusarz, Mikolaj Buchwald, Adrian Szczeszek, Szymon Kupinski, Anna Gramek-Jedwabna, Wojciech Andrzejewski, Juliusz Pukacki, Robert Pękal, Marek Ruchała, Rafał Czepczyński, Cezary Mazurek

“…Conclusions With an AI-based algorithm using radiomics features it is possible to detect the malignancy of thyroid nodule. …”
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Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of Imaging (X-ray, CT and US)... by V. E. Sinitsyn, I. E. Tyurin, V. V. Mitkov

“…The paper presents Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of imaging (X-ray, CT and US) in diagnosis of COVID-19 pneumonia» (version 2) of the Russian Society of Radiology and the Russian Association of Specialists in Ultrasound Diagnostics in Medicine.The guidelines list radiological techniques for lung diseases, which are used in coronavirus COVID-19 infection (chest X-ray, lung computed tomography (CT), and lung ultrasound (US), diagnostic algorithm, and follow-up study. The guidelines propose the models of the work of radiological rooms/departments of a healthcare facility, the procedure for conducting an examination, and recommendations for providing a description and assessing changes in the lung and chest in existing/suspected COVID-19-related pneumonia and present the schemes of X-ray and CT protocols at the initial examination and assessment of the changes.Chest X-ray has a low sensitivity for detecting initial changes in the first days of the disease and is not recommended for early diagnosis. …”
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Real-Time Object Pose Tracking System With Low Computational Cost for Mobile Devices by Yo-Chung Lau, Kuan-Wei Tseng, Peng-Yuan Kao, I-Ju Hsieh, Hsiao-Ching Tseng, Yi-Ping Hung

“…We also propose a fast and effective pose inspection algorithm to detect tracking failures and incorrect pose estimation. …”
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Development of the program for sustainability of technological development of an industrial enterprise by A. E. Miller, D. O. Drozdov

“…The considered methodology of sustainability determines the purpose and key tasks, organizational and economic algorithm, methodological principles of technological development. …”
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Clinical relevance and druggability of sole reciprocal kinase fusions: A large‐scale study by Jiao Feng, Tonghui Ma, Chunyang Wang, Baoming Wang, Qian Liu, Zhengchuang Liu, Houquan Tao, Zaiyuan Ye

“…Conclusion This inaugural multicenter study introduces a novel algorithm for detecting and treating sole reciprocal fusions in advanced cancers, expanding the patient population potentially amenable to KIs.…”
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Identification of atrial fibrillation using heart rate variability: a meta-analysis by Ziwei Yin, Changxin Liu, Chenggong Xie, Zixing Nie, Jiaming Wei, Wen Zhang, Hao Liang

“…Subgroup analyses revealed that both deep learning algorithms (sensitivity = 0.95, specificity = 0.98, AUC = 0.99) and multi-database studies (sensitivity = 0.96, specificity = 0.97, AUC = 0.99) demonstrated enhanced accuracy in AF identification compared to other approaches.ConclusionMachine learning can effectively identify AF with HRV in ECG, especially in diagnosis and detection, with deep learning algorithms and multiple-databases outperforming other diagnostic methods.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, PROSPERO (CRD42025634406).…”
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A Thermal Cycler Based on Magnetic Induction Heating and Anti-Freezing Water Cooling for Rapid PCR by Yaping Xie, Qin Jiang, Chang Chang, Xin Zhao, Haochen Yong, Xingxing Ke, Zhigang Wu

“…A multi-physics theoretical heat transfer model, developed using the digital twin approach, enables precise temperature control through advanced algorithms. Experimental results reveal average heating and cooling rates of 14.92 °C/s and 13.39 °C/s, respectively, significantly exceeding those of conventional methods. …”
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From spark to suppression: An overview of wildfire monitoring, progression prediction, and extinguishing techniques by Guangqing Zhai, Longhui Dou, Yifan Gu, Hongyi Zhou, Lele Feng, Liangliang Jiang, Jie Dong, Jiaxuan Sun, Haidong Li

“…Artificial intelligence algorithms enhance data analysis and processing efficiency. …”
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Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks by Zhe Bai, Xishuo Wei, William Tang, Leonid Oliker, Zhihong Lin, Samuel Williams

“…Deep learning algorithms provide a new paradigm to study high-dimensional dynamical behaviors, such as those in fusion plasma systems. …”
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Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation by Emmanuel Andrès, Amir El Hassani Hajjam, Frédéric Maloisel, Maria Belén Alonso-Ortiz, Manuel Méndez-Bailón, Thierry Lavigne, Xavier Jannot, Noel Lorenzo-Villalba

“…With its ability to process vast amounts of clinical, genomic, and pharmacovigilance data, AI can identify patterns and risk factors that may be missed by traditional methods. Machine learning algorithms can refine predictive models, enabling earlier detection and more accurate risk assessments. …”
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XSShield: Defending Against Stored XSS Attacks Using LLM-Based Semantic Understanding by Yuan Zhou, Enze Wang, Wantong Yang, Wenlin Ge, Siyi Yang, Yibo Zhang, Wei Qu, Wei Xie

“…Through a Prompt Optimizer based on gradient descent and UCB-R selection algorithms, and a Data Adaptor based on program dependence graphs, the framework achieves real-time and fine-grained code processing. …”
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Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance by Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant

“…Noisy data is a prevalent issue in data mining, significantly impacting the performance of classification algorithms. Mathematical methods are crucial in tackling this obstacle, particularly in optimizing noise detection and data preprocessing. …”
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