Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...
insideHPC

MathWorks Expands Deep Learning Capabilities in Release 2018b of the MATLAB and Simulink Product Families

MathWorks introduced Release 2018b of MATLAB and Simulink. The release contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. The ...
News Medical

New machine learning model achieves breakthrough in heart disease prediction with over 95% accuracy

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
Healio

AI-trained data models may allow for more rapid, accurate detection of neurologic conditions

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...
EurekAlert!

DeepWMH: a deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...