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|January 2, 2014
- Pharmaceutical Technology-01-02-2014
- Volume 38
- Issue 1
Pharmaceutical Technology, January 2014 Issue (PDF)
Click the title above to open the Pharmaceutical Technology January 2014 issue in an interactive PDF format.
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Articles in this issue
over 12 years ago
UK Biotech Gains Momentumalmost 13 years ago
Drugs, At What Cost?almost 13 years ago
CS Inspection Machine Improves Efficiencyalmost 13 years ago
Ribbon Blender Model 42N-270 Increases Performancealmost 13 years ago
Innovation and Market Growth in Brazilalmost 13 years ago
R&D in Transitionalmost 13 years ago
ALpHA G Capsule Filter for Single-Use Systemsalmost 13 years ago
Battling Off-Weight Tabletsalmost 13 years ago
Metrics Sought to Ensure Drug Qualityalmost 13 years ago
Gericke N200 Nibbler Provides Size ReductionAdvertisement
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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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