Description
Pancreatic cancer is rarely detected during its early stages, when it is most curable, mainly due to the lack of symptoms. This necessitates the use of novel methods to support early detection, risk mitigation and decision support towards optimised interventions.
The EU-funded iHELP project will design a cutting-edge decision support suite incorporating artificial intelligence-based risk identification and mitigation methods to assist in the fight against pancreatic cancer. It will analyse historical data in detail, identifying primary risk factors while raising awareness and providing ongoing risk management by exploiting data obtained through various wearable devices. The goal is to provide near real-time risk assessment, significantly aiding detection, prevention and treatment.