Abstract Background Machine Learning (ML) models have been used to predict common
mental disorders (CMDs) and may provide insights into the key modifiable factors that can …

The complex nature of disease mechanisms and the variability of patient symptoms present
significant obstacles in developing effective diagnostic tools. Although machine learning has …

Background Worldwide, coronary artery disease (CAD) is a leading cause of mortality and
morbidity and remains to be a top health priority in many countries. A non-invasive imaging …

Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …

Diabetes is a metabolic condition depicted by elevated blood glucose levels where the
pancreas is unable to generate adequate insulin or the body is incapable of utilizing insulin …

In recent years, the technology sector has witnessed substantial disruptions, leading to
major layoffs within toptier tech conglomerates. As the momentum of the digital age …

Depression is a disorder characterized by a variety of symptoms that includes changes in
psychomotor function, weight changes, sleep disturbance, difficulty concentrating, suicidal …