Pauric Bannigan, Intrepid Labs, explains how physics-informed machine learning aids formulation and why regulators still want experimental data.
News|Articles|November 1, 2004
- Pharmaceutical Technology-11-01-2004
- Volume 2004 Supplement
- Issue 8
Integrated Information Management Approach to Drug Substance and Drug Product Scale-Up
This article describes a novel approach to a scale-up management system, based on a holistic view of the scale-up lifecycle and an accompanying electronic development record of the information created.
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Pauric Bannigan, Intrepid Labs, explains where AI speeds formulation decisions, why data is the bottleneck, and how active learning trains models with far less data.
Clinical, manufacturing, safety, and commercial teams all lean on shared data. They need to agree on who publishes each data product, who can use it, and what evidence goes with it.
The PharmTech team focused on its coverage of AAPS PharmSci 360 this week, conducting interviews with experts on a range of topics including formulation platforms, AI, amorphous solid dispersions, and animal studies.
Stephanie Johnson, Pfizer, explains how off-platform triggers, single-owner risk registers, and traceable prior knowledge keep protein formulation programs on track.
Stephanie Johnson, Pfizer, discusses how platform formulations moved 2 Pfizer protein programs to IND in 8 months by redistributing, not removing risk.
Shubhajit Paul, a senior research fellow in Boehringer Ingelheim’s Department of Material Analytical Sciences, spoke with PharmTech at AAPS PharmSci 360 to explain how tabletability prediction can be improved for roller-compacted formulations.
This week on PharmTech.com, experts discussed E&L suitability standards, rare disease treatment development, sourcing ingredient suppliers, the use of AI in quality control, and more.
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