Accelerating Drug Formulation Development Through Machine Learning: The Potential for Faster and Cheaper Pharmaceutical Research

Machine Learning accelerates drug formulation development, changing the game for pharmaceutical research

A new study shows that machine learning can accelerate the development and adoption of innovative drug delivery systems.

The University of Toronto has successfully used machine learning models for the design of injectable long-acting drug formulations. Machine learning algorithms could accelerate drug formulation, reducing the cost and time associated with drug research.

Nature Communications will publish the study today, January 10, 2023.

Source:
https://scitechdaily.com/machine-learning-accelerates-drug-formulation-development-changing-the-game-for-pharmaceutical-research/