Lung cancer remains one of the leading causes of mortality… largely because it is detected too late.

This is where LUNG-PREDICT comes in.

It is an innovative project that combines real-world clinical data, biomarkers, and data science to develop predictive models capable of identifying lung cancer at much earlier stages.

The goal?
To move from a reactive approach to a predictive and preventive one.

What makes LUNG-PREDICT different?

Integrates large volumes of real-world clinical data
Uses artificial intelligence to generate predictive models
Improves accuracy in early detection
Enables more informed clinical decision-making

In other words: anticipating the problem before it becomes visible.

Detecting lung cancer at early stages can make the difference between invasive treatments with limited prognosis and early interventions with higher survival rates.

Innovation with real impact

This project, driven by the biomedical ecosystem of Barcelona and funded by European programs, reflects where medicine is heading:

• more personalised
• data-driven
• and supported by artificial intelligence

Because the future of healthcare is not just about treating diseases…
it’s about predicting them before they appear.