Predicting hospitalization risk among patients on hemodialysis is vital, given their high rate of unplanned hospitalizations related to fluid overload and infections.

Among pediatric patients presenting to the emergency department (ED) with high fevers, pinpointing those at risk for developing sepsis “is akin to looking for a needle in the haystack,” said Elizabeth ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably ...

In today’s interconnected world, the rapid spread of infectious diseases poses a significant threat to global health and economic stability. The emergence of novel pathogens can lead to widespread ...

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 ...

A new study demonstrated that computer models of gut metabolism can predict which probiotics will successfully establish themselves in a person's gut ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...