We are proud to share our latest study in Cancer Medicine journal led by our partner IEO Istituto Europeo di Oncologia: “The impact of decision tools during oncological consultation with lung cancer patients: A systematic review”.

To date, lung cancer is one of the most lethal diagnoses worldwide. A variety of lung cancer treatments and modalities are available, which are generally presented during the patient and doctor consultation. The implementation of decision tools to facilitate patient’s decision-making and the management of their healthcare process during medical consultation is fundamental. Studies have demonstrated that decision tools are helpful to promote health management and decision-making of lung cancer patients during consultations. The main aim of the present work within the I3LUNG project is to systematically review the implementation of decision tools to facilitate medical consultation about oncological treatments for lung cancer patients.

For more information about I3LUNG, visit the Project website or contact us.


Read the Cancer Medicine article!


We are pleased to announce that the study design of the I3LUNG project has just been published in the journal Clinical Lung Cancer.

The publication explains the I3LUNG study design and marks the beginning of a series of publications that will dig into the project’s groundbreaking work. Subsequent articles will detail the specific areas within the I3LUNG consortium and provide updates on results related to this comprehensive project’s different aspects.

The I3LUNG initiative is led by Dr. Arsela Prelaj, Medical Oncologist at Istituto Nazionale dei Tumori of Milan, and is a collaborative effort involving 16 partners located worldwide. Funded under the Horizon Europe Program framework, the project is focused on “Ensuring access to innovative, sustainable, and high-quality healthcare.” It will cover a 5-year timeframe, from 1st June 2022 to May 2027.

Due to its poor prognosis and limited therapeutic options, there is a large unmet need for patients with metastatic non-small cell lung cancer (mNSCLC). I3LUNG aims to develop a platform that utilizes artificial intelligence and machine learning tools to predict an mNSCLC patient’s response to immunotherapy according to their clinical characteristics. The platform will combine data collected from the medical records of patients who are candidates for immunotherapy. It will then study each individual’s response to treatment while leveraging the expertise of the different partners, ranging from imaging to omics sciences.

The I3LUNG project represents a major stride towards personalized medicine and, therefore, the integrated management of mNSCLC patients. While immunotherapy can harness the power of the immune system to fight cancer, it is a costly treatment that, unfortunately, may not benefit all patients especially considering the frequency of adverse events registered. This project aims to better assist mNSCLC patients and physicians in selecting the right treatment by developing an algorithm capable of predicting the patient’s response to immunotherapy and integrating those medical considerations as well as the individual’s treatment preferences. More efficient treatment of mNSCLC patients will enhance their quality of life and alleviate the economic strain on the European healthcare system.

The I3LUNG project sets hope on the horizon for mNSCLC patients, as it aims to deliver the right therapy to the right patient at the right time, thereby assisting physicians in making therapeutic decisions and patients in undergoing more conscious treatment journeys. We are enthusiastic about our involvement in this remarkable initiative, which has the potential to revolutionize lung cancer therapy.

For more information about I3LUNG, visit the Project website or contact us.

Read the Clinical Lung Cancer article!