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.
|Articles|September 2, 2014
- Pharmaceutical Technology-09-02-2014
- Volume 38
- Issue 9
Pharmaceutical Technology, September 2014 Issue (PDF)
Click the title above to open the Pharmaceutical Technology September 2014 issue in an interactive PDF format.
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Articles in this issue
about 12 years ago
Using Ultrasonic Cleaning for Equipment and Toolingabout 12 years ago
Investigation of Various Impurities in Febuxostatabout 12 years ago
Asymmetric Synthesis Continues to Advanceabout 12 years ago
Using Quality by Design to Develop Robust Chromatographic Methodsabout 12 years ago
Waters QTof Mass Spectrometer Detects Low-Level Compoundsabout 12 years ago
Xylem Polarimeters Measure Chiral Compoundsabout 12 years ago
Extending the Scope of Pharmacovigilance Comes at a Priceabout 12 years ago
Minimizing Variation in Vial Withdrawal Practiceabout 12 years ago
The Relevance of Industry Technical Associationsabout 12 years ago
Thermo Fisher Scientific UHPLC System Improves ProductivityAdvertisement
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Sanjay Konagurthu, PhD, senior director of Science and Innovation at Thermo Fisher Scientific, explains what teams need to do to ensure the usefulness of AI and what strides have been made with AI in regulatory submissions.
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.
The new initiative aims to apply traceable AI and science to expand care worldwide by translating discovery into tools that accelerate drug development.
Sanjay Konagurthu, PhD, senior director, Science and Innovation at Thermo Fisher Scientific, provides an update on the progress of AI and machine learning used in drug delivery.
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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