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Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis.
J Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFEnhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.
J Food Sci
January 2025
Digital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Science, Faculty of Science, The University of Melbourne, Melbourne, Victoria, Australia.
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with machine learning (ML) modeling for beer authentication, quality traits, and control assessment. For this study, 25 commercial beers from different brands, styles, and three types of fermentation were used.
View Article and Find Full Text PDFFirst-time use of electronic patient-reported outcome measures in a cluster randomized trial: a qualitative study.
J Patient Rep Outcomes
January 2025
Department of Health Sciences Ålesund, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Ålesund, Norway.
Background: Although there is clear evidence supporting the beneficial effects of regularly assessing patient-reported outcomes (PROs), the comprehensive integration of patient-reported outcome measures (PROMs) into routine cancer care remains limited. This study aimed to explore the facilitators and barriers encountered by principal investigators (PIs) (oncologists) and study nurses during the implementation of the Eir ePROM within a cluster randomized trial (c-RCT) in cancer outpatient clinics. Additionally, we sought to examine the influence of Eir on the working routines of the participants.
View Article and Find Full Text PDFPerfusion estimation from dynamic non-contrast computed tomography using self-supervised learning and a physics-inspired U-net transformer architecture.
Int J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
View Article and Find Full Text PDFEngineering hydrogen bonding at tyrosine-201 in the orange carotenoid protein using halogenated analogues.
Photosynth Res
January 2025
Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
The Orange Carotenoid Protein (OCP) is a unique water-soluble photoactive protein that plays a critical role in regulating the balance between light harvesting and photoprotective responses in cyanobacteria. The challenge in understanding OCP´s photoactivation mechanism stems from the heterogeneity of the initial configurations of its embedded ketocarotenoid, which in the dark-adapted state can form up to two hydrogen bonds to critical amino acids in the protein's C-terminal domain, and the extremely low quantum yield of primary photoproduct formation. While a series of experiments involving point mutations within these contacts helped us to identify these challenges, they did not resolve them.
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