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Blog Posts

Data ingestion pipelines (Part II)

In our previous blog, we presented an overview of how the data ingestion pipelines of the iHelp platform have been implemented. We

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Data Ingestion into the iHelp Big Data Platform (Part I)

One of the most important technological building blocks of the iHelp platform is the data pipeline that captures the various types of

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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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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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