Veeva Systems has acquired Ostro, a brand engagement platform for life sciences that gives patients and doctors immediate, compliant answers through an AI-driven chat experience.
Cenevo is introducing two new AI agents as part of its focus on helping scientists operate faster, smarter and with less manual overhead, without sacrificing control or compliance.
Researchers have created a new machine‑learning framework capable of predicting drug side effects by analysing how different medicines interact with biological targets in the body, offering a new path towards earlier detection of ADRs.
Erik Janssen, Global Digital Care Transformation lead at UCB, examines how pharma can drive ethical AI adoption in healthcare, grounding innovation in trust, transparency, and collaborative partnerships to improve patient outcomes.
AI can help, but not in the way many think. The real opportunity is about how to get good data in, not how to make the best of poor data, and regulators could be doing more to drive this, says Daniel O’Keeffe of Qinecsa.
While generative AI has already captured the imagination as a means to transform pharma R&D processes, agentic AI brings new reasoning and autonomy to the table. ArisGlobal’s Jason Bryant unpacks the potential.
With 2026 on the horizon, pharma leaders are already looking ahead. European Pharmaceutical Manufacturer asked industry voices what they think 2026 will bring, from innovation and AI to regulation and resilience. Here’s what they had to say.
At CPHI, Olivia Friett, editor of European Pharmaceutical Manufacturer spoke to Anil Kane, head of global technical & scientific affairs at Thermo Fisher Scientific, about what they were showcasing.
