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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

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Goals 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

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Unsupervised 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

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Digital Twins

The concept of Digital Twins was designed in 2002 by Michael Grieves [1], initially, to serve as a tool in the Product

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The 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

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Studies 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

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The 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

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iHelp 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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Impact Evaluator – A tool to visualise the effect of the sent contents

One of the goals of the iHelp project is to realize a platform that can provide final users with personalized prevention and

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