news
MHRA Class 2 medicine recalls – May/June 2025
The UK medicine agency's most recent recalls of this class have been due to packaging and potential contamination issues.
List view / Grid view
Data integrity
article
The rise of multimodal language models in drug development
Industry experts, Remco Jan Geukes Foppen, Vincenzo Gioia, Alessio Zoccoli and Carlos Velez reflect on the necessity to ensure data quality in order to gain full advantage from multimodal language models (MLMs).
article
Pharma Horizons: Artificial Intelligence
EPR's latest Pharma Horizons report explores the latest advances in artificial intelligence (AI) for drug and clinical development, regulation and more.
webinar
Webinar: Paradigm Shift in Analytical Development and QC
4 February 2025 | By
Join to explore advanced analytical procedures to handle complex drug analytics and evolving regulations for development and quality control.
whitepaper
Standardization of Analytical Data: Best Practices
3 February 2025 | By ACD Labs
Learn about available formats for analytical data standardization, limitations, and how to ensure data is usable by lab scientists and AI/ML.
webinar
How a well-orchestrated digital ecosystem drives laboratory efficiency and innovations
24 January 2025 | By LabVantage Solutions
Find out how to take advantage of a connected digital ecosystem to enhance quality control, streamline manufacturing and, ensure regulatory compliance
webinar
Webinar: Benchtop NMR for Continuous Process Monitoring in PAT
24 January 2025 | By
Discover how Bruker Benchtop NMR integrates with synTQ software, enhancing process monitoring and complementing IR and Raman techniques in the PAT framework
whitepaper
NSF Launches ‘Compliance Unlocked’ Podcast Series
15 January 2025 | By
NSF invites pharmaceutical professionals to tune in to its new groundbreaking podcast series “Compliance Unlocked” and join the conversation on critical industry issues.
article
Adopting AI for R&D in 2025 – what needs to be addressed?
Dr Vladimir Makarov, AI Community lead, The Pistoia Alliance, explains that despite the willingness of the life sciences R&D industry to adopt artificial intelligence (AI), data integrity is a key area that must be addressed to ensure successful integration of this fast-evolving technology.
article
The EU AI Act: will regulation drive life science innovation away from Europe?
Mike King, Senior Director, Product & Strategy (Quality, Regulatory, Safety & Detect), Digital Products & Solutions at IQVIA and Alex Denoon, Partner at Bristows Law Firm, explore the challenges of implementing the EU AI Act and the impact of GDPR requirements in life sciences.
webinar
When innovative formulations cloud sterility testing
30 October 2024 | By Charles River
Webinar presented by Miriam Guest, Senior Principal Scientific Advisor at Charles River, to explore how ATP-bioluminescence outperforms traditional sterility testing in complex matrices.
webinar
An alternative medium to support sterility testing using the Growth Direct® Rapid Sterility System
4 September 2024 | By Rapid Micro Biosystems
Watch on demand to learn how a new single medium, Rapid Sterility Medium (RSM), performs as well as or better for the growth promotion of test microorganisms compared to compendial sterility test media.
article
A holistic approach to safeguard data integrity in Biopharma manufacturing
Data integrity is critical in Biopharma manufacturing yet is often difficult to achieve due to complex regulatory requirements and legacy data management systems, among the many factors. Furthermore, issues such as data accuracy, completeness and security impact product quality, regulatory compliance and ultimately patient safety. Addressing all these challenges demands…
news
Pharma’s attitudes on AI revealed
Artificial intelligence (AI) is generally being embraced in the pharma and life science sectors, but concerns around data accuracy and transparency remain, a new survey reveals.
article
Guide to Data Integrity 2024
In this Guide to Data integrity articles explore the role of data integrity in CCS, AI and ML as well as biopharma manufacturing.
