Taming the AI Chaos in Drug Discovery
Key Points AI chaos is a success-driven challenge: Powerful, specialized AI tools are proliferating faster than labs can integrate them coherently. Fragmentation creates hidden costs:…
Key Points AI chaos is a success-driven challenge: Powerful, specialized AI tools are proliferating faster than labs can integrate them coherently. Fragmentation creates hidden costs:…
Over the past several years, Medical Affairs has evolved from a largely supportive, reactive function into a primary strategic pillar. In 2026, proving the value…
For more than a decade life sciences organisations have spoken confidently about becoming data-driven; more recently about becoming AI-powered. Yet compared with other highly-regulated sectors,…
The UK’s National Health Service (NHS) is increasingly struggling to meet its diagnostic targets. As of August 2025, over 1.6 million people were on waiting…
With agentic AI, the promise is about so much more than process enhancement and greater productivity. It is about redefining a function’s purpose and value,…
Claudia Lehman, Head of Global Pharmacovigilance Operations at Boehringer Ingelheim and Lucinda Smith, ArisGlobal’s Chief Safety Product Officer, chart Boehringer’s shift to AI-powered automation of…
In high stakes, regulated industries the promise of AI is huge – faster decisions, deeper insights, greater efficiency. But so are the risks. When lives, compliance…
AI enabled pharmacovigilance isn’t just about absorbing extra AE case volumes without driving up costs to maintain compliance and mitigate risk. It is also crucial…
How leading biopharm companies like Bayer are standardizing and integrating data for scaling impactful AI. AI use cases are rippling across commercial biopharma, helping companies…
Drug development designed to treat rare disease is both a noble cause and a risky business. Rare diseases are typically deadly, debilitating, and devastating for…