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.
|Articles|August 2, 2013
- Pharmaceutical Technology-08-02-2013
- Volume 37
- Issue 8
Pharmaceutical Technology, August 2013 Issue (PDF)
Click the title above to open the Pharmaceutical Technology August 2013 issue in an interactive PDF format.
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Articles in this issue
about 13 years ago
Evaluating the Pieces in Big Pharma's Manufacturing Investmentsabout 13 years ago
Advancing Peptide Synthesis Through Stapled Peptidesabout 13 years ago
Demonstrating Biosimilarityabout 13 years ago
New Gene Patent Rulesabout 13 years ago
Bioprocessing Advances in Vaccine Manufactureabout 13 years ago
Regulatory Inspections Get Seriousabout 13 years ago
Seeking Harmonization in Nanomedicines Regulatory Frameworkabout 13 years ago
Report from Indiaabout 13 years ago
Alternative Solvents for Extractables and Leachables Evaluationabout 13 years ago
Product Spotlight: Analytical InstrumentationAdvertisement
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Subathra Ramamoorthy, Veranova, on when to escalate to structural elucidation and pair orthogonal techniques when characterizing an impurity.
Manish Baviskar, Hubot CDMO, on ALCOA++ data integrity, model version change control, continuous monitoring, and human sign-off.
The agreement between CDER and OII with allow for coordinated marketing application assessments and inspections.
Manish Baviskar, Hubot CDMO, explains which AI skills validation engineers need first and why AI model updates must go through GMP change control.
Ron Filler, Drug Development Consultants, explains how USP's 1074 revision brings human-relevant safety science to formulators and excipient makers.
Nitin Kumar Swarnakar, PhD, global application lab manager at BASF, talks about spray drying for drying amorphous solid dispersions and Raman spectroscopy’s role as a quantitative analytical tool.
Aleksandra Zuraw, senior veterinary pathologist at Charles River, discusses how chain of custody, good laboratory practice, quality control, and validation are applied to digital pathology data used in drug development.
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