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, ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, ...

Zubel: In terms of analytics and AI, faster clinical data monitoring is already achievable. Predictive modeling is improving, but accuracy remains a challenge, particularly in oncology.

Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) today released a predictive modeling tool to estimate natural decay of SARS-CoV-2 (the virus that causes COVID-19) ...

West Orange, N.J.-based RWJBarnabas Health is working to harness the power of predictive modeling to identify early signs of patient deterioration, enabling clinical teams across its 12 hospitals to ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...