The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

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 ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...