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Research and Development Articles

Optimizing the DMTA Cycle: Closing the Gap Between AI and Pharma R&D

By Andrew Anderson | Feb 12, 2026

Manual data translation limits AI, but connecting the DMTA cycle turns scattered data into actionable knowledge

A visual metaphor for AI-enabled drug discovery, showing physical laboratory robotics and glassware blending with digital data streams and neural networks to synthesize a new molecule.

Memorandum of Understanding extended

ANSI and NIST Extend Memorandum of Understanding

Dec 3, 2024

Welcoming Exponent to the Contract Laboratory Network!

Nov 12, 2024

Pharmaceutical Pharmacokinetic / Pharmacodynamic Studies

Feb 4, 2023

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