Bioprofiling over grid for personalised eHealthcare for AD Bioprofiling over grid for personalised eHealthcare for AD Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-252009enThis paper is concerned with the exploitation of new information and communications technologies (computational intelligence algorithms and tools for biodata analysis, grid computing and web services, clinical user interfaces) to create a knowledge infrastructure to support personalised care for Alzheimer's disease (AD)-prevention, early detection, diagnosis, monitoring of progression and response to treatment. This revolves around the use of bioprofiles which is a personal 'fingerprint' that fuses together a person's current and past bio records and lifestyle. Analysis of an individual's bioprofile makes it possible to personalise care for AD. The paper is based on the work undertaken within the EU-funded project, BIOPATTERN. It provides highlights and insights into the requirements and challenges of personalised care for AD, the characteristic features and requirements of bioprofiles within the context of AD, techniques for the acquisition of useful parameters for inclusion in the bioprofile for AD, and a grid-based prototype system to demonstrate the concepts of bioprofiling for AD within the EU setting.http://creativecommons.org/licenses/by/4.0/155-165 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita Emmanuel Ifeachor Zervakis Michalis Ζερβακης Μιχαλης Pin Hu Lingfen Sun Nigel Hudson Computers--Programming Electronic computer programming Electronic data processing--Programming Electronic digital computers--Programming Programming (Electronic computers) computer programming computers programming electronic computer programming electronic data processing programming electronic digital computers programming programming electronic computers Medicine