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Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review.
R Soc Open Sci
January 2025
University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham B15 2GW, UK.
Multiple sclerosis (MS) is an autoimmune disease of the brain and spinal cord with both inflammatory and neurodegenerative features. Although advances in imaging techniques, particularly magnetic resonance imaging (MRI), have improved the process of diagnosis, its cause is unknown, a cure remains elusive and the evidence base to guide treatment is lacking. Computational techniques like machine learning (ML) have started to be used to understand MS.
View Article and Find Full Text PDF[Simultaneous determination of 51 indazole-type synthetic cannabinoids in urine and blood by online solid-phase extraction-liquid chromatography-linear ion trap mass spectrometry].
Se Pu
February 2025
School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
To evade legal controls, new psychoactive substances (NPS), which have been designed as substitutes for traditional and synthetic drugs, are gradually dominating the drug market. Synthetic cannabinoids (SCs), which account for the majority of NPS, are rapidly being derivatized; consequently, controlling increasing abuse by merely listing individual compounds is difficult. Therefore, China has included the entire SC category of SCs listed as legal controlled substances since July 1, 2021.
View Article and Find Full Text PDF[Research advance of solid-phase microextraction based on covalent organic framework materials].
Se Pu
February 2025
School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Solid-phase microextraction (SPME) is a fast and simple sample preparation technique that enables the enrichment of analytes, and it is used in combination with other detection techniques to provide accurate and sensitive analytical methods. SPME is widely used in environmental monitoring, food safety, life analysis, biomedicine, and other applications. The extractive coating is the core of the SPME technique, and the properties of the extractive coating greatly influence extraction selectivity and efficiency, as well as the enrichment effect.
View Article and Find Full Text PDFDeep learning-based synthetic CT for dosimetric monitoring of combined conventional radiotherapy and lattice boost in large lung tumors.
Radiat Oncol
January 2025
Department of Radiotherapy, Changzhou Cancer Hospital, Honghe Road, Xinbei Area, Changzhou, 213032, China.
Purpose: Conventional radiotherapy (CRT) has limited local control and poses a high risk of severe toxicity in large lung tumors. This study aimed to develop an integrated treatment plan that combines CRT with lattice boost radiotherapy (LRT) and monitors its dosimetric characteristics.
Methods: This study employed cone-beam computed tomography from 115 lung cancer patients to develop a U-Net + + deep learning model for generating synthetic CT (sCT).
A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method.
Sci Rep
January 2025
College of Geodesy and Geomatics, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao, 266590, China.
In the process of mineral resource extraction, monitoring surface deformation is crucial for ensuring the safety of engineering and ground infrastructure. Monitoring complete three-dimensional surface deformation is particularly significant. Traditional synthetic aperture radar (InSAR) technology provides deformation components only along the line of sight (LOS) and often lacks sufficient effective data in vegetation-covered mining areas and mining subsidence centers.
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