New study demonstrates the potential for machine learning to accelerate the development of innovative drug delivery technologies.
Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster.
The study will be published today (January 10, 2023) in the journal Nature Communications.
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