Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Heart failure is a leading cause of hospitalization and long-term disability, with many individuals progressing from subclinical disease to overt symptoms ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

We’re living in a time when data shapes almost every choice we make, from picking a winning football team to deciding where ...