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 ...

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, ...

The transition between wakefulness and states of reduced consciousness, whether pharmacologically induced via anesthesia or pathologically necessitated by ...

DORA published this proposed guidance in response to “inquiries from life insurers requesting guidance regarding the manner and format of the attestation required by Colorado Insurance Regulation 10-1 ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — but from algorithms. Dr. Robert Kissell. Kissel is the creator of ...

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 ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...