Integrating machine learning with clinical red flags may help in the diagnosis of patients with suspected hereditary ATTR.

Combining physical models with machine learning cuts day ahead solar forecast errors by up to 35% in tested sites. Choice of ...

Vertical farming (VF) offers a smart way to grow crops in stacked layers inside controlled indoor environments. By doing so, ...

Three tools target targeting different stages of kidney disease assessment. The first one predicts chronic kidney disease.

Demand for data professionals is rising across Mumbai’s finance, healthcare, retail, consulting, technology, e-commerce, and ...

Machine learning powers your streaming recommendations, bank fraud alerts and most modern AI tools. Here are the five ...

A 13-indicator routine laboratory model shows moderate discrimination for distinguishing heart failure with reduced ejection fraction (HFrEF), according to a ...

Can artificial intelligence spot women at risk for preterm birth—before symptoms appear? With preterm birth (PTB) still a ...

Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta research shows. The findings are published in the journal Forest Ecology ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...