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.
News|Articles|September 1, 2004
- Pharmaceutical Technology-09-01-2004
- Volume 2004 Supplement
- Issue 6
Monitoring Granulation Drying Using Near-Infrared Spectroscopy for In Situ Analysis of Residual Moisture and Methanol
A novel probe design can reduce the powder-sample density variance such that moisture and solvent levels can be accurately modeled and predicted in process.
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Bill Williams, AAPS, compares KinetiSol and spray drying for amorphous solid dispersions, covering 75% drug loading, pill burden, weakly basic drug release, and process limits.
Pauric Bannigan, Intrepid Labs, explains how physics-informed machine learning aids formulation and why regulators still want experimental data.
Vibha Jawa, PhD, chief scientific officer at EpiVax, explains why the need for animal studies varies by modality and what it takes for organ-on-chip and other human-relevant models to replace these studies in IND-enabling toxicology work.
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.
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.
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