Researchers at Northeastern University, working with several healthcare organizations and health tech companies, are developing vulnerability management platforms they hope to rapidly deploy and ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine an advanced use of generative AI ...

As ‍ ‌‍ ‍‌ ‍ ‌‍ ‍‌ data-driven innovation profoundly changes every industry, the healthcare sector is also affected. Digital twins – virtual copies of physical devices – are essentially changing the ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

The use of digital twins to simulate patient populations can have a profound effect on the organization and outcome of clinical trials either by refining, reducing, or even eliminating human and ...

Digital twins are rapidly emerging as powerful tools in personalized medicine and beyond. In healthcare, they serve as virtual representations of a patient’s body, body parts, specific organs, and ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies ...

Iowa State engineers and leaders of the university's Translational AI Center, left to right, Baskar Ganapathysubramanian, Adarsh Krishnamurthy and Soumik Sarkar are developing "digital twins" as ...

An enhanced computer model is now helping to provide fresh insights into cancer-cell growth and how it can be stopped. The digital cell model represents another step towards individualized cancer ...

Product design risks can be mitigated through digital commissioning strategies for device design that speed continuous design ...