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Survival parametric modeling for patients with heart failure based on Kernel learning.
BMC Med Res Methodol
January 2025
Department of Computer Science and Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Time-to-event data are very common in medical applications. Regression models have been developed on such data especially in the field of survival analysis. Kernels are used to handle even more complicated and enormous quantities of medical data by injecting non-linearity into linear models.
View Article and Find Full Text PDFRed cell distribution width as a cardiovascular risk predictor in adults with hypertension in sub-Saharan Africa.
J Hum Hypertens
January 2025
Department of Pediatrics and Child Health, University of Ilorin, Ilorin, Nigeria.
Article Synopsis
- Red cell distribution width (RDW) is a measure of variability in red blood cell sizes and may indicate cardiovascular disease (CVD) risk, especially in low-resource areas, according to a study in Ghana and Nigeria.
- The study involved 319 adults with hypertension who underwent assessments like blood pressure and RDW measurement, revealing an average RDW of 13.96% and a median CVD risk score of 8.11%.
- Findings showed that RDW is positively correlated with age, systolic and diastolic blood pressure, and WHO CVD risk scores, suggesting RDW could be a useful predictor of CVD risk in this population, particularly with an RDW cutoff of >14
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans.
NPJ Digit Med
January 2025
School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
The current approach to fetal anomaly screening is based on biometric measurements derived from individually selected ultrasound images. In this paper, we introduce a paradigm shift that attains human-level performance in biometric measurement by aggregating automatically extracted biometrics from every frame across an entire scan, with no need for operator intervention. We use a neural network to classify each frame of an ultrasound video recording.
View Article and Find Full Text PDFArticle Synopsis
- Deep learning methods show strong potential for predicting lung cancer risk from CT scans, but there's a need for more comprehensive comparisons and validations of these models in real-world settings.
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Projected increase in droughts over the Arabian Peninsula and associated uncertainties.
Sci Rep
January 2025
Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia.
The Arabian Peninsula (AP) has been reported to experience increasing drought in recent decades. With this background, this study evaluates best performing Climate Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs) for historical (1985-2014) simulations and future drought projections across the AP until 2100, using the standardized precipitation index (SPI) and standardized precipitation-evapotranspiration index (SPEI). We assess uncertainties from model differences, scenarios, timescales, and methods.
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