Automated Small-Scale Tablet Press Aids Development
SMI's Bilayer Nova development and pilot-scale double-layered tablet press is fully automated.
The Bilayer Nova from SMI is a fully automated development and pilot-scale double-layered tablet press with single-layer capabilities. The intuitive human-machine-interface control touchscreen allows full visible access of the machine with accesible controls. The standalone unit does not require any additional consoles or cabinets, which is ideal for tight working environments. The machine has nine-ton, first- and second-layer compression capabilities that are suitable for bilayer tableting requirements. New 'Director Pro' software is designed to reduce operator error and increase product yield. The software will automatically maintain individual tablet weights and reject tablets that are outside of user-specified tolerances.
Transformations in Drug Development for Cell and Gene Therapies
March 28th 2025As a recognized leader in immunophenotyping for clinical trials, Kevin Lang from PPD discusses how spectral flow cytometry is transforming drug development, particularly in cell and gene therapies like CAR-T. He also dives into his award-winning research, including his 2024 WRIB Poster Award-winning work, and his insights from presenting at AAPS PharmSci360.
Advancing Clinical Trials with Spectral Flow Cytometry: A Conversation with Kevin Lang
March 28th 2025As a recognized leader in immunophenotyping for clinical trials, Kevin Lang from PPD discusses how spectral flow cytometry is transforming drug development, particularly in cell and gene therapies like CAR-T. He also dives into his award-winning research, including his 2024 WRIB Poster Award-winning work, and his insights from presenting at AAPS PharmSci360.
Understanding the Variability in Bioburden Test Results in Biomanufacturing
May 7th 2025This article explores the impact of test volume, microbial distribution, and dilution errors on bioburden testing variability. It presents statistical approaches to estimate percentage error and discusses strategies to optimize microbial enumeration techniques in biopharmaceutical quality control.
