Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Researchers have developed an artificial intelligence model that can predict one's risk of developing over a hundred different health conditions using sleep data. Named 'SleepFM', the model was ...

Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...

This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...

BEIJING, 24 December (BelTA - Xinhua) - Chinese researchers have developed a new air quality model that enables more accurate simulation of two major pollutants: fine particulate matter and ...

The model was then used to predict the future onset of disease by analysing sleep data, with health record data sourced from a sleep clinic. More than 1,000 disease categories in the health records ...