MOTIVATION: Understanding pan-cancer level mutational landscape offers critical insights into the molecular mechanisms underlying tumorigenesis. While patient-level machine learning techniques have been widely employed to identify tumor subtypes, coh... read more
Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conventional PET scanners allowing for reduced scan time and/or reduced radiotracer dose. The long axial coverage also permits multi-organ dynamic imaging w... read more
The production of three-dimensional (3D) printed firearms is concerning as these objects are unregulated and untraceable due to the lack of serial numbers. Criminals can obtain 3D models online or design their own versions using computer-aided design... read more
Advances in clinical and experimental medicine : official organ Wroclaw Medical University
Apr 27, 2026
Scientific journals establish author guidelines to ensure manuscript consistency, enhance readability, and maintain editorial standards. However, the rationale behind specific requirements is not always apparent to submitting authors, leading to misu... read more
Journal of magnetic resonance imaging : JMRI
Apr 27, 2026
Cine cardiac magnetic resonance imaging (MRI) is the gold standard for cardiac function assessment, offering exceptional spatial and temporal resolution in a non-invasive manner. Recently, there have been attempts to improve signal-to-noise ratio (SN... read more
The rapid fabrication of artificial intelligence-based hardware worldwide is intensifying the electronic waste (e-waste) crisis, threatening ecosystems and demanding urgent, sustainable solutions for metal recovery. Herein, a glucose-mediated hydroth... read more
Event identification, which refers to defining important moments within a movement, is a fundamental process in biomechanical analysis. This study aimed to develop and evaluate deep learning models for automated detection of the moment of racket-ball... read more
Rapid and accurate detection of soybean varieties is of crucial importance for the successful cultivation, management, and selection of ecological types. The accuracy of the techniques currently employed is not satisfactory. Thus, in order to overcom... read more
This study aims to assess the predictive value of dietary antioxidants in diabetes-cancer comorbidity using interpretable machine learning (ML) models and to identify key clinical factors. Data were sourced from the National Health and Nutrition Exam... read more
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