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, ...

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

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.

Overview: AI-powered marketing analytics tools enable brands to move beyond basic reporting and leverage predictive insights, automation, and real-time optimiza ...

Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine learning to design universal vaccines that could provide lifelong protection ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

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