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AI in life sciences

Recap of Bio-IT World 2025: Why AI-Readiness Demands a Unified Approach Through a Digital Backbone

by Oana Lungu | posted on April 09, 2025

Bio-IT World 2025 brought together the best minds in life sciences and tech. From pharma to clinical research to healthcare, the message was clear: AI is reshaping biomedical research at a breathtaking pace. Yet, despite the promise, one stubborn roadblock kept coming up: siloed systems leading to data fragmentation. Bluntly stated: grappling with too many systems!

That sentiment echoed throughout the conference. Organizations are still wrestling with siloed systems that limit their ability to fully capitalize on AI. Some have patched together a web of point solutions. Others are building custom pipelines from scratch. Vendors, meanwhile, showcased everything from ultra-specialized tools to full-stack platforms promising to unify the ecosystem. One consistent thread: no one has it totally figured out. There’s a clear hesitation around relying too heavily on a single vendor or system, but the drawbacks of scattered tools are just as real.

Here’s a hot take: your AI-readiness strategy needs a digital backbone—a unified orchestration platform that connects instruments, people, and processes, and contextualizes data from end to end. The payoff? A consolidated solution that cuts training time, simplifies maintenance, reduces costs, and delivers unified, AI-ready data.

Yes, there’s risk in vendor lock-in. But that risk is manageable with the right choice: a platform that’s infrastructure-agnostic, so your data stays under your control—whether it’s deployed on your own servers or in the cloud; with extensible APIs; and that enables data models built around your workflows and scientific context. That combination gives you long-term flexibility and ownership, while still delivering the cohesion your AI strategy demands.

That’s where L7|ESP stands out. It’s an orchestration platform designed to give you the best of both worlds: the structure to scale AI across your operations and the openness to avoid getting boxed in. In a world of too many systems, L7|ESP is the backbone life sciences organizations need to go from fragmented to future-ready.

ABOUT THE AUTHOR

Oana Lungu, Product Manager

Oana Lungu is a product leader at L7 Informatics, combining a unique blend of scientific expertise and product management acumen to drive life sciences digital transformation strategy. Her extensive experience working with stakeholders, scientists, and technologists provided her with a deep understanding of the challenges in streamlining complex scientific workflows into scalable, data-driven digital solutions. Through strategic innovation, customer engagement, and thought leadership, she bridges science, technology, and business impact, shaping the future of scientific software. Oana holds a Ph.D. in Biochemistry and Biophysics from the University of North Carolina at Chapel Hill.