Deep generative model for pharmaceutical process design

Tools

Alvarado., D. and Johnston, B. and Brown, C. (2023) Deep generative model for pharmaceutical process design. In: CMAC Open Days 2023, 2023-11-14 - 2023-11-16, Technology & Innovation Centre, 99 George Street.

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Abstract

Deep generative models (DGMs) are neural networks capable of generating realistic samples and learning hidden information. Most popular developments in this area include GPT, Dall-E and midjourney applied to generate text and images. DGMs have been employed in fields such as drug discovery to generate new drug candidates with desirable biological and chemical properties. Applications in pharmaceutical manufacturing have not been fully explored.

ORCID iDs

Alvarado., D. ORCID logoORCID: https://orcid.org/0000-0003-1191-1478, Johnston, B. ORCID logoORCID: https://orcid.org/0000-0001-9785-6822 and Brown, C. ORCID logoORCID: https://orcid.org/0000-0001-7091-1721;
CORE (COnnecting REpositories)