Advanced Patient Monitoring and A.I. Supported Outcomes Assessment in Lung Cancer Using Internet of Things Technologies (A.I. - APALITT)
Advanced Patient Monitoring and A.I. Supported Outcomes Assessment in Lung Cancer Using Internet of Things Technologies (A.I. - APALITT)
The use of advanced technological tools able to exploit patient-centered "Real World Data", represents an innovative and fascinating challenge for the most modern personalized medicine paradigms.
Monitoring oncological patients during multimodal cancer therapies may represent a significant step towards a comprehensive and reliable quality of life assessment, prevention of toxicity before its clinical onset and treatment outcomes prediction.
The big data approach, being able to collect, manage and interpret large volumes of health data, eventually supported by artificial intelligence (A.I.) is therefore fundamental in this setting and may be translated in the next future in tangible advantages for the patients.
Primary aim of the project is to assess patients experience of using portable monitoring systems during multimodal oncological therapies and follow up period, through the use of a dedicated app and wearable technology (i.e. monitoring bracelet), as Electronic Health Record data harvesting devices.
More specifically, the patients report experience measure of man/women affected by locally advanced non-small-cell lung cancer undergoing chemo(radio)therapy followed either by surgery or immunotehrapy (e.g. describing toxicity, instrumental activities of daily living and stress/coping levels) will be analyzed.
The machine learning assisted analysis of these data will allow to identify patients profile that may be used as risk categories to optimize assistance and follow up practices.
This is an observational study with device, co-financed, monocentric study with a foreseen study duration of 36 months.
Inclusion Criteria:
Exclusion Criteria:
filippo.lococo@policlinicogemelli.it+39 0630156844