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Machine learning models to accelerate the design of polymeric long-acting injectables

Medicine and Health

Machine learning models to accelerate the design of polymeric long-acting injectables

P. Bannigan, Z. Bao, et al.

Explore groundbreaking research conducted by Pauric Bannigan, Zeqing Bao, and other experts from the University of Toronto, revealing how machine learning algorithms can efficiently predict drug release from long-acting injectables, paving the way for faster, cost-effective formulation development.

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Playback language: English
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