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Pancreatic Cancer

Applications and utilities of the tools developed by iHelp for clinical practice

Within iHELP a set of technological developments have been performed, resulting in the release of tools that can improve the medical practice.

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Enhanced risk prediction of Pancreatic Cancer through the utilization of an AI Model Library – Analytic Workbench

What is the Analytics Workbench The Analytics Workbench is a building block of the iHelp infrastructure which aim is to host all

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Building the iHelp Platform

The modern healthcare landscape and market As the healthcare domain continues to become more complex with a tremendous amount of data being

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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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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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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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