PDA/FDA regulatory conference promotes a commitment to quality.
Ensuring data integrity involves effort on an individual and global basis.
In this episode of the Ask the Expert video series, Susan J. Schniepp, distinguished fellow at Regulatory Compliance Associates, talks to Piet Christiaens, PhD, scientific director, E&L expert at Nelson Labs, and Dennis Jenke, PhD, principal consultant for Nelson Labs and chief executive scientist, Triad Scientific Solutions, about extractables and leachables and the testing required for each.
Susan Schniepp, distinguished fellow at Regulatory Compliance Associates, discusses the assessment of risk in the processing of intravenous injectable drugs.
Sorendls/Getty ImagesTo maintain a state of control and comply with regulatory authorities, many pharmaceutical, biotech, and medical-device companies have adopted continued pro
This article introduces the technology that powers automated HT–DLS and explores its practical applications in enhancing formulation stability investigations.
Determining a peptide’s purity is challenging because impurities are often structurally similar to each other and the API and can be present at very low concentrations. New approaches offer a solution.
The author explores a dual-supplier sourcing strategy for single-use products and its ability to mitigate business continuity risk.
Surface plasmon resonance is helping define bispecific antibodies, the next-generation of biopharma therapeutics.
In the development of biopharmaceuticals and pharmaceuticals, the line is blurring.
Reliably detecting low amounts of high molecular weight impurities during process development and characterization of biopharmaceutical products.
Despite the unpredictability of biopharma, key forces promise to shape the market over the next few years
The authors present a case study identifying a contaminant.
This article examines trends in biopharma post-grant patent review and projects what the future holds in store.
Use of a subspace model is a viable method to characterize process space variables and optimize process performance.
Use of a subspace model is a viable method to characterize process space variables and optimize process performance.
The authors evaluate the SoloVPE technique as a replacement for nitrogen-based protein determination.