Advancing personalized prevention strategies for chronic obstructive pulmonary disease and associated comorbidities that utilize existing IT technologies and novel AI based tools

External project members

Oana Cramariuc, Centrul IT pentru Stiinta si Tehnologie, Rumänien.

About the project

COPD is a major global public health concern affecting around 12% of the population, as evidenced by GOLD in 2023. Being the third leading cause of death, following cardiovascular diseases, COPD imposes a considerable economic strain, with an estimated direct cost of approximately 38.6 billion Euros per year in the EU alone. Exacerbation occurs during the natural course of the disease and increases with disease progression despite pharmacotherapies and interventional approaches. It often requires hospitalization, degrades the quality of life, and increases the socio-economic burden. It is thus essential to shift the current paradigm of managing exacerbation events to early prediction and timely intervention that can prevent occurrences and hospitalization. By employing novel approaches to build a holistic data-driven prediction model, we address current limitations in this field which generally take into account a specific or limited class of information. At the same time, involving patients in three countries provides a much-needed support for generalization across diverse stakeholders and geographic regions.