Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a safeguard and a growth catalyst.

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...

Researchers developed predictive models using routine clinical metrics to estimate pain modulation profiles in chronic pain.

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

India is transforming its disease surveillance from a detective to a predictive model using AI and real-time data. This leap in public health security aims to identify and forecast outbreaks before ...