The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

The engagement establishes a multi-phase framework to support AI enabled capital efficient development of Teverelix, a next generation GnRH antagonist, as a first in class market product for acute ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...

NextNRG, Inc. (NASDAQ:NXXT), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today announced that members of its engineering team have published ...

RICHLAND, Wash.-Two related discoveries detailing nanocrystalline mineral formation and dynamics have broad implications for ...

From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been ...

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

Healthcare is going all-in on artificial intelligence, from reading patient scans to fighting insurance denials.

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business ...