The following white paper explores how next-generation lab informatics solutions can transform the life science industry by addressing challenges like data silos, compliance risks, and manual workflows. The white paper further highlights the strategic value of cloud-based platforms integrating LIMS, ELN, and AI-driven analytics to accelerate breakthroughs, foster and enhance collaboration, and ensure data integrity. Real-world implementations show up to 40% faster data processing and improved decision-making. The paper concludes that digital, connected, and intelligent lab ecosystems are key to achieving smarter, faster, and more efficient pharma innovation.
Mitigating nitrosamine risk requires assessing each product individually and chasing zero nitrite in pharmaceutical excipients is often impractical and costly.
In October, FDA reorganized rare disease development around a fit-for-purpose framework and a new pathway for individualized gene editing. Regulators in Europe and the UK set out long-term plans for clinical trials, AI, and moving away from animal testing.
Clinical, manufacturing, safety, and commercial teams all lean on shared data. They need to agree on who publishes each data product, who can use it, and what evidence goes with it.
The FDA approves VOCERYQ, the first DNA medicine, for RRP surgery reduction, raising plasmid, drug-device, and confirmatory trial manufacturing demands.