Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

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

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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 ...

Report Ocean recently announced the publication of its new report on the Digital Twins market. The research assesses key elements that will have a significant impact on the market throughout the ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Digital twins are virtual replicas of physical systems that learn, simulate, and predict performance and emerging as one of medicine’s most intriguing and controversial frontiers. Once an abstract ...

The biopharmaceutical industry is undergoing significant digital transformation. While this shift brings exciting opportunities, it also introduces increasing complexity and growing expectations for ...