Hospitals’ AI adoption has exploded during the past decade, with predictive analytics being one of the most prevalent use cases. Predictive algorithms have become widely used due to their ability to ...

The AI in remote patient monitoring market is booming, driven by chronic disease prevalence, aging populations, and digital ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

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 ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Editor’s Note: I have been saying for some time now that the ultimate goal of President Trump’s tariffs is to level the playing field and create a massive wave of onshoring. As the Wall Street Journal ...

Tension: We crave personalization while remaining unaware that algorithms are quietly shaping our future preferences and identity. Noise: The marketing industry celebrates AI personalization as ...