A recently published study by researchers at the University of Arizona Health Sciences found that a tiny protein called PNA5 appears to have a protective effect on brain cells, which could lead to treatments for the cognitive symptoms of Parkinson’s disease and related disorders.

It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there is still room for increasing for example image contrast and resolution. Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced Systems Understanding (CASUS) at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and the Max Delbrück Center for Molecular Medicine is faster than traditional models while matching or even surpassing their images’ quality. The model, called Multi-Stage Residual-BCR Net (m-rBCR), was specifically developed for microscopy images. First presented at the biennial European Conference on Computer Vision (ECCV), the premier event in the computer vision and machine learning field, the corresponding peer-reviewed conference paper is now available.

This study suggests that GERD may elevate cardiovascular risks, including increased blood pressure, unhealthy lipid levels, and a higher likelihood of heart disease. Through advanced genetic analysis, researchers linked GERD to elevated systolic and diastolic blood pressure, higher LDL cholesterol, and an increased risk of heart attack, highlighting GERD’s broader health implications.