The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...
Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...
Chemical biology increasingly benefits from the close integration of experimental structural techniques and computational ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Artificial intelligence is redefining how fire tests are used in polyurethane foam R&D, delivering faster insights and ...
From left, UVA’s Scott Doney and Kazlin Mason and UVA Wise’s Donald W. Sorah Jr. are among the 12 winners of the State ...
Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
As digital commerce continues to evolve, consumer behavior is becoming increasingly driven by data, price transparency, and ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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