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Molecular biomarkers in salivary diagnostic materials: Point-of-Care solutions — PoC-Diagnostics and -Testing
Published 2025-02-01“…Addressing these challenges requires continued research into improving assay sensitivity, data integration, and cost-effectiveness. …”
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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders
Published 2025-08-01“…The core of our methodology involves a novel algorithm featuring an Efficient-Unet based Deep Learning model for the precise segmentation of NSR areas. …”
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Outpatient Testing for HIV in Italy, 2018–2023—Preliminary Data
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Machine Learning and Deep Learning Models for Dengue Diagnosis Prediction: A Systematic Review
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URGENT DIAGNOSTICS OF CEREBRAL VENOUS TROMBOSIS
Published 2016-10-01“…Investigations were carried out in 24 patients in order to evaluate information value of the data of clinical, laboratory, neuroradiological methods of research and develop the diagnostic algorithm in case of cerebral venous thrombosis (CVT). …”
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Limbal stem cell deficiency diagnostics
Published 2022-09-01“…One of the important problems is the lack of a clear diagnostic algorithm and a standardized set of diagnostic techniques for this condition. …”
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The Mobile Complex of Chemical Control as the Basis of Technical Equipment of the Mobile Diagnostic Group of the 33 Central Scientific Research Test Institute of the Ministry of De...
Published 2021-06-01“…The special mobile diagnostic group (MDG) is formed in the Federal State Budgetary Establishment «33 Central Scientific Research Test Institute» of the Ministry of Defenсe of the Russian Federation (hereinafter referred to as the institute) to perform tasks related to the radiation and chemical (RCh) control of different objects, to ensure RCh safety and security of mass events, as well as to perform special tasks of RCh examination of samples of all kinds. …”
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Diagnostics of Linear Systems in the State Space
Published 2019-06-01“…The purpose of this research was to further develop the model-oriented methods for diagnosis of the technical state of the electrical systems and devices, which was achieved by formalizing the task and developing constructive algorithms for localization of faulty subsystems in the state space. …”
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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network
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Determination of the accuracy of osteoporotic fractures risk assessment in patients with rheumatoid arthritis using the prognostic model, developed at V.A. Nasonova Research Instit...
Published 2021-10-01“…The predictive model developed at V.A. Nasonova Research Institute of Rheumatology, showed higher diagnostic accuracy and sensitivity, as well as comparable specificity with the FRAX algorithm in assessing fractures in RA patients.…”
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