Brainomix, Boehringer Ingelheim Partner on Fibrosing Lung Disease

Brainomix, a pioneer in artificial intelligence (AI) imaging solutions, has entered into a partnership with Boehringer Ingelheim for a collaborative program of activity to improve the care of patients with fibrosing lung disease in the US.

This project will focus on the opportunity for AI imaging analysis using Brainomix 360 e-Lung on routine CT scans to accelerate the diagnosis and improve access to treatment for people living with fibrosing lung disease.

Pulmonary fibrosis is a chronic lung condition that is progressive and life-limiting. Untreated, patients can have a lifespan as short as 5 years from diagnosis, and yet despite this, often wait up to 2 years for diagnosis. The key to the best survival for patients with fibrosing lung disease is the earliest initiation of treatment, but identifying patients eligible for treatment based on imaging can be challenging.

Through this partnership, Brainomix will deploy its FDA-cleared e-Lung software to leading US pulmonology centers and their networks of referring sites. The data generated will validate the value of e-Lung, highlighting the potential of digital technology to optimize pathways of care and improve outcomes for people with fibrosing lung disease, a vision shared between Brainomix and Boehringer Ingelheim.

Dr. Michalis Papadakis, CEO and Co-Founder of Brainomix said: “This partnership enables us to leverage our established experience and expertise connecting stroke networks to develop a similar network model of care for patients with fibrosing lung disease, generating real-world evidence that will drive the opportunities we have with e-Lung to help improve outcomes for patients and their families.”

Ioannis Sapountzis, Head of Global Therapeutic Areas at Boehringer Ingelheim said: “We believe that Brainomix 360 e-Lung has the potential to revolutionize the diagnostic landscape and thereby enable earlier treatment decisions at a pivotal stage of the patient’s journey. This can ultimately improve patient outcomes and quality of life of those affected.”