AI-powered ECG analysis shows promise for early COPD detection

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and resource-intensive diagnostic methods. A study published in the journal eBioMedicine assesses the effectiveness of electrocardiograms (ECGs) analyzed via deep learning as a tool for early COPD detection.

New clinical standards strengthen antimicrobial stewardship in tuberculosis care

Antimicrobial stewardship (AMS) refers to coordinated strategies for the targeted, evidence-based, and safe use of anti-infective agents. The aim is to improve treatment outcomes, minimize side effects, and prevent the development and spread of antimicrobial resistance. While AMS is well established in many areas of infectious diseases, a clearly defined and clinically operational framework for tuberculosis (TB) care has been lacking.

Mathematics uncovers shifting brain connectivity in autism and aging

It is a central question in neuroscience to understand how different regions of the brain interact, how strongly they "talk" to each other. Researchers from the Max Planck Institute for Mathematics in the Sciences Leipzig, Germany, the Institute of Mathematical Sciences in Chennai, India, and colleagues demonstrate how mathematical techniques from topological data analysis (TDA) can provide a new, multiscale perspective on brain connectivity. The study was published in the journal Patterns.