Risk Factor Analysis
Over the past few years, the incidence of pancreatic cancer (PC) has enlarged and AI techniques have emerged as powerful tools in
Read MoreGoals of the iHelp study: the FPG pilot
The main goals of the iHelp project are to early detect and mitigate the risks associated with Pancreatic Cancer by applying advanced
Read MoreUnsupervised Machine Learning
Have you met that know-it-all expert always rushing to spoil the AI party by pronouncing that they have seen it all before
Read MoreDigital Twins
The concept of Digital Twins was designed in 2002 by Michael Grieves [1], initially, to serve as a tool in the Product
Read MoreThe Open-Source in eHealth – The iHelp Solution
Since the project has moved to its third and final year it is time to have a small recap of the project’s
Read MoreStudies for secondary data capture using Healthentia
The secondary data capture for iHelp, i.e., the collection of patients’ data in a non-clinical setting, is a fundamental step for all
Read MoreThe role of Social Media Analyser tool in Health Policy Making
It has been established that the importance of public opinion on social media platforms has become significant in recent years and especially
Read MoreiHelp partner introduction – KODAR
The Project – AI Support for Monitoring, Alerting, Feedback, and Evaluation Module in iHelp We are proud to see Kodar’s team working
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