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AEGLE project announces the launch of the first prototype for Big Data Analytics in the healthcare sector

Contributed by: Globaz SA

On behalf of the AEGLE project we are pleased to announce the launch, on the 31st of May 2016, of the first prototype of AEGLE medical analytics framework. This prototype is the first from a total of three versions that will be released in the next few months. The AEGLE prototype is an ICT solution aimed at facilitating Big Data analysis. This first prototype illustrates the core principles behind the solutions upon which the analytics will be built.
AEGLE project announces the launch of the first prototype for Big Data Analytics in the healthcare sector
What is the AEGLE project?
AEGLE is a European project funded through the Horizon 2020 framework programme that has brought together thirteen organisations with interdisciplinary backgrounds, from academia, the technological and engineering sciences, to the medical, legal and ethical areas, to create and build an innovative ICT solution for Big Data management in the healthcare sector. This solution will revolutionise integrated and personalised healthcare services.

Why is AEGLE project necessary?

The opportunity:
Big Data analytics for health bio-data present excellent opportunities in terms of i) predicting long-term health conditions and identifying non-traditional intervention points, ii) designing better diagnostic tools for improved monitoring and prevention of diseases, and iii) increasing access to – and reducing the costs of – healthcare.

The challenge:
Conventional data processing has encountered difficulties with Big Data management due to its large size (volume), the required processing speed (velocity), its heterogeneity (variety) and accuracy (veracity).

The solution:
The AEGLE project aims to overcome these difficulties and generate value from healthcare data through the development of a framework for Big Data analytics that will improve translational medicine, to facilitate personalised and integrated care services, and to promote data-driven research across Europe. The AEGLE framework follows a unique user-oriented approach that will benefit from the platforms´ rich data sources.

What is the scope of intervention of AEGLE?
AEGLE has chosen three medical use cases to focus the biomedical research questions and set the basis for bio-signal and bioinformatics analytics, multi-parametric pattern mining, and integrative predictive modelling. The use cases are Chronic Lymphocytic Leukemia (CLL), Intensive Care Unit (ICU) and Type 2 Diabetes (T2D).
The advantages of AEGLE medical analytics framework for these three cases are:

Advantages for the CLL case:
- Allows integration with data of different types and scales from other sources/sites
- Creates advanced analytics pipelines
- Structures biomolecular and clinical data aimed at refined risk stratification and the identification of novel therapeutic targets

Advantages for the ICU case:
- Optimises mechanical ventilator and patient-ventilator interactions
- Improves basic patient care such as nutrition in ICU
- Allows early detection of deterioration
- Enables the development of ‘smart’ alarms

Advantages for the T2D case:
- Supports the definition of prognostic indicators (i.e. why some cases do better than others)
- Improves methods and points for intervention
- Supports the definition of accurate cohort and feasibility for clinical trial
- Allows for improved monitoring and therapeutic modalities

For more information, contact the coordinator of the project Mr Andreas Raptopoulos at: info@aegle-uhealth.eu or visit our website at: www.aegle-uhealth.eu

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  • Belgium, Greece, Italy, Netherlands, Portugal, Sweden, United Kingdom

Keywords

big data, data analytics, horizon 2020, ict, Chronic Lymphocytic Leukemia, Intensive Care Unit, Type 2 Diabetes
Record Number: 133394 / Last updated on: 2016-06-07
Category: New products and technologies
Provider: WIRE
Revision: 0