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 ...

Clearance mechanisms are key to removing aggregates and maintaining metastability.

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 ...

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 ...

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 ...

Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new battery's useful life after just 50 cycles.