News Medical

Using machine learning models to guide the design of long-acting injectable drug formulations

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 ...
Contract Pharma

Best Practices for Solving Complex Formulation Challenges While Maintaining Speed Through the Lifecycle

Formulation complexity, especially in small molecule drugs, has been getting more attention as capabilities continue to ...
Nature

Chemical foundation model-guided design of high ionic conductivity electrolyte formulations

Designing optimal formulations is a major challenge in developing electrolytes for the next generation of rechargeable batteries due to the vast combinatorial design space and complex interplay ...
Nature

Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation

This research assesses multiple predictive models aimed at estimating disintegration time for pharmaceutical oral formulations, based on a dataset comprising nearly 2,000 data points that include ...