By Mikaela Bogdanova, Head of Key Account Management & New Markets, Sqilline Health

As ESMO 2025 is already over, one message resonates across oncology and digital health communities: structured data and AI-powered insights are transforming cancer care.

At Sqilline Health, we were inspired by the passion and collaboration we witnessed throughout the event. We extend our gratitude to the ESMO organizers for creating an environment that fosters innovation, scientific exchange, and meaningful partnerships.

The AI Boom and the Challenge of Structuring Medical Data

This year, discussions repeatedly returned to one crucial topic – how to use algorithms to structure clinical data.

While AI brings new opportunities, many initiatives emerging from the recent AI boom underestimate the complexity of medical information. Unlike standard datasets, medical text and documentation require a deep understanding of clinical context, terminology, and physician logic.

Without access to high-quality data and robust infrastructure, AI models often struggle. Many hospitals end up spending more time cleaning data than they would have spent structuring it manually. As one clinician told us during ESMO 2025:

“We’ve seen so many AI projects start strong and fade quickly… They promise breakthroughs, but they don’t survive real-world conditions.”

This frustration is understandable. The gap between theory and practice remains one of healthcare’s biggest challenges.

A Decade of Experience: The Story Behind Danny DataStruct

At Sqilline Health, we built our solution long before AI became a buzzword.

The idea behind Danny DataStruct was born more than ten years ago in the United States, inspired by the ASCO’s project CancerLinQ, which was one of the earliest initiatives to connect oncology data for research purposes.

Over the past decade, a team of experienced IT professionals and medical advisors has refined the platform continuously. Today, Danny DataStruct is running in more than 100 hospitals across Central and Eastern Europe, supporting large-scale analyses and peer-reviewed publications.

Danny DataStruct is a proven, scalable, AI-powered health data analytics platform that bridges the gap between raw data and real clinical insight.

Our Dream: A European-Wide Infrastructure for Structured Real-World Data

At the heart of Sqilline Health’s mission lies our vision to bring Clarity for Cancer Care.

A European-wide infrastructure of structured Real-World Data (RWD) in a common format, enabling truly representative and relevant clinical studies is becoming a reality.

While many health data projects are well-intentioned, they often remain siloed, limited in scope, and disconnected from daily clinical workflows. The result is a fragmented research ecosystem where insights rarely reach those who need them most – the physicians and researchers working directly with patients.

Hospitals across Europe are eager to participate in meaningful research, but too often they invest in isolated initiatives that begin and end without lasting impact.

Sqilline Health has built its reputation on mastering the complexity of working with real-world sources. By normalising different data formats, extracting information from unstructured clinical notes via proprietary AI, and applying robust statistical techniques, Danny DataStruct generates real-world evidence (RWE) that meets the evidentiary standards of physicians, researchers, regulators, and payers.

By unifying data under a common framework, we are enabling hospitals to turn fragmented information into actionable evidence, supporting better research, faster discoveries, and ultimately, improved patient outcomes.

Beyond the Buzz: Building with Purpose

AI in healthcare is evolving rapidly, but sustainable progress depends on more than innovation. It depends on trust, experience, and collaboration.

At Sqilline Health, we believe the future of oncology research will not be built on the next “big thing,” but on solutions that already work and continue to deliver results.

Our journey proves that when technology meets long-term vision and clinical expertise, structured real-world data can become one of healthcare’s most powerful assets.

As we reflect on ESMO 2025, we’re more convinced than ever that the future of precision oncology belongs to those who bridge technology and experience and that’s what we’ve been doing for over a decade.

Thank you, European Society of Medical Oncology, for inspiring a new generation of collaboration between medicine and technology.