| Literature DB >> 31926318 |
Dhaval R Kalaria1, Keith Parker2, Gavin K Reynolds3, Johanna Laru2.
Abstract
Tablet development is challenging during early clinical phases of drug discovery because of dose uncertainty, limited active pharmaceutical ingredient availability, and short lead times. Here, we introduce a new framework to expedite product development using a suite of in-house and commercially available predictive tools developed through the integration of computer modelling and material-sparing characterisation methods. The strategy underpins the use of dry granulation for formulation development with guidance on scale-up and manufacturability to achieve 'First Time Right'. We present an analytical strategy based on predictive science with a focus on stability, and shelf-life related attributes to assure product quality. Thus, we provide a holistic approach towards robust, scientific product development through integrated project knowledge and risk-based approaches, delivering significant savings in both material and resources.Entities:
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Year: 2020 PMID: 31926318 DOI: 10.1016/j.drudis.2019.12.012
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851