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Welcome to project IASIS
IASiS is an EU funded project that seeks to pave the way for precision medicine approaches by utilising insights from patient data. It aims to combine information from medical records, imaging databases and genomics data to enable more personalised diagnosis and treatment approaches in two disease areas – lung cancer and Alzheimer’s disease.
News
See the latest news of IASIS project…
The iASiS Advisory Board reconvened for the final time
On Wednesday 17 June 2020 the third international iASiS Advisory Board convened for the last time before the end of the iASiS project.
CogAware Module created to analyze Alzheimer's patient data
Through the open data analysis workpackage researchers at NCSR Demokritos led by Dr.
iASIS project travelled to China
Project IASIS results continue to travel around the world.
Interview: How artificial intelligence will change medicine
Professor Maria-Esther Vidal, Head of Scientific Data Management Research Group at TIB, Leibniz Universität Hannover (LUH) an iASIS project partner, discusses in
iASIS presented at IASLC - World Lung Cancer Congress in Spain
On September 9, 2019, Dr.Maria Torrente from partnering organisation Hospital Universitario Puerta de Hierro / SERMAS presented iASIS during the IASLC - World
Second Big Data for Precision Medicine Symposium organised in Cordoba
Following the successful organisation of the first Big Data for Precision Medicine Symposium (Athens, July 2018) H2020 projects iASiS and PULSE successfully co-
iASiS organises the 2nd Big Data for Precision Medicine Symposium
Following the successful organisation of the first Big Data for
The iASiS project travelled to Japan
In the frame of the project's international dissemination activities, project coordinator George Paliouras, NCSR Demokritos travelled to Japan to present project
iASiS project visits Canada for the second time
iASiS project visited Canada in September 2018 for the second time.
iASiS poster presented at ECCB conference 2018
Mr Anastasios Nentidis (NCSR Demokritos) presented an iASiS
Welcome to the first issue of the iASiS Newsletter!
We are very happy to share the first issue of the iASiS Newsletter.
iASiS posters presented at the Alzheimer’s Association International Conference 2018
Dr Peter Garrard from St George’s, University of London presented two posters on the iASiS project at the Alzheimer’s Association International Conference 2018 (
iASiS project successfully organised the Big Data for Precision Medicine Symposium
Οn July 11, 2018 the iASiS project organised the Big Data for
iASiS presented at the International Semantic Web Research School 2018
Ms Samaneh Jozashoori, data science researcher from partner Leibniz University of Hanover, presented a poster on the iASiS project at the International Semantic
iASiS presented at the Personalized and Precision Medicine International Conference 2018
Dr Benjamin Lang from the Centre for Genomic Regulation presented the iASiS project at the Personalized and Precision Medicine International Conference 2018 (
iASiS presented at the CEBIT Conference 2018
Prof Dr Maria-Esther Vidal from partner Leibnitz University of Hanover (LUH) presented a poster on the iASiS project at the
iASiS presented at Big Data Europe: 3rd Workshop on Big Data in Health
Guillermo Palma, research assistant at the University of Hannover, presented the iASiS project at the
iASiS presented at Bayer internal tutorials in Berlin
Prof Dr Maria-Esther Vidal from partner Leibnitz University of Hanover (LUH) gave a presentation on the iASiS project at two Bayer internal tutorials.
iASiS poster presented at St George’s Research Day
Drs Peter Garrard and Eleftherios Samaras from St George’s University of London presented the iASiS project with a poster at the
iASiS presented at the 3rd Big Data Europe Workshop
The 3rd Big Data Europe Workshop on Big Data for Climate Action, Environment, Resource Efficiency and Raw Materials took place on November 6 2017 in Brussels,
iASiS presented at the L3S Research Center annual workshop
Prof Dr Maria-Esther Vidal from partner Leibnitz University of Hanover (LUH) presented a poster on the iASiS project at the L3S annual workshop, describing the
iASiS at the 1st NEVAC training meeting in Madrid
Dr Alejandro Rodríguez González, associate professor at Technical University of Madrid (UPM), discussed the iASiS project and Big Data in Health as part of the
iASiS at the meet up on Greek Hospitals and Digital Health on 20 September 2017 in Athens, Greece
Dr.
iASiS participated at IEEE CogInfoCom2017
Dr Vasisiliki Rentoumi presented a paper during the 8th IEEE CogInfoCom2017
IASIS project participated at OSF2017 Conference
The IASIS project successfully participated at the first ever Open Science Fair 2017 held in Athens, Greece from 6 - 8 September 2017.
Finding patterns in big data
Our partner Louiqa Raschid, from the University of Maryland, talks about her role in Project iASiS and how they will be finding patterns in the big data towards
The IASIS project travelled to Canada
iASiS Project Coordinator Dr. George Paliouras travelled to Canada in August to present iASiS in a variety of meetings.
First IASIS project flyer now available!
IASIS project produced its first informative flyer which outlines the objectives and vision of the project.
Using big data to solve a big problem
Project iASiS is using big data to enable more personalised treatment approaches to Alzheimer's disease and lung cancer.
Alzheimer’s patients to get made to measure treatment plan within 10 years say experts
Alzheimer’s patients to get made to measure treatment plan within 10 years say experts
IASIS project participated at ESWC conference
The IASIS project participated at its first dissemination event the ESWC conference which took place in Portoroz, Slovenia
IASIS project Kicks-off
IASIS project kicked-off on 20-21 April in Athens, Greece at coordinator NCSR "Demokritos"...
IASIS Vision
Using big data to pave the way for more personalised diagnosis and treatment approaches.
Objectives
To create a system that will support clinicians in developing more personalised diagnosis and treatments for patients.
Approach
To build a platform that integrates different types of big data to show new insights.
