Opendata, web and dolomites

IASIS SIGNED

Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "IASIS" data sheet

The following table provides information about the project.

Coordinator
"NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS""" 

Organization address
address: END OF PATRIARCHOU GRIGORIOU E AND 27 NEAPOLEOS STREET
city: AGIA PARASKEVI
postcode: 15341
website: www.demokritos.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website http://project-iasis.eu/
 Total cost 4˙337˙475 €
 EC max contribution 4˙337˙475 € (100%)
 Programme 1. H2020-EU.3.1.5. (Methods and data)
 Code Call H2020-SC1-2016-CNECT
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    "NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS""" EL (AGIA PARASKEVI) coordinator 668˙750.00
2    SERVICIO MADRILENO DE SALUD ES (MADRID) participant 781˙350.00
3    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER DE (HANNOVER) participant 665˙625.00
4    ST GEORGE'S HOSPITAL MEDICAL SCHOOL UK (LONDON) participant 517˙500.00
5    ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS EL (ATHINA) participant 475˙000.00
6    FUNDACIO CENTRE DE REGULACIO GENOMICA ES (BARCELONA) participant 470˙500.00
7    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 456˙250.00
8    ALZHEIMER'S RESEARCH UK UK (CAMBRIDGE) participant 156˙250.00
9    GRUPO ESPANOL DE INVESTIGACION EN CANCER DE PULMON ES (BARCELONA) participant 146˙250.00
10    RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN DE (BONN) participant 0.00
11    THE UNIVERSITY SYSTEM OF MARYLAND FOUNDATION, INC. US (ADELPHI) participant 0.00

Map

 Project objective

The vision of IASIS is to turn the wave of data heading our way into actionable knowledge for decision makers. This will be achieved by integrating data from disparate sources, including genomics, electronic health records and bibliography, and applying advanced analytics methods to discover useful patterns. Big Data in healthcare is in its early days, and most of the potential for value creation is being unclaimed. One of the main challenges is the analysis of acquired data. While information is becoming ever easier to obtain, the infrastructure to collect, integrate, share, and mine the data remains lacking. These data are an invaluable resource for deriving insights to improve decision and policy making. The goal is to turn these large amounts of data into actionable information to authorities for planning public health activities and policies. The integration and analysis of these heterogeneous sources of information will enable the best decisions to be made, allowing for diagnosis and treatment to be personalised to each individual. IASIS aims to pave the way towards comprehensive access to data from disparate sources and the results of analysis, in the form of actionable knowledge for policy-making. The project will offer a common representation schema for the heterogeneous data sources. The infrastructure will be able to convert clinical notes into usable data, combine them with genomic data, related bibliography, image data and more, and create a global knowledge base. This will facilitate the use of intelligent methods in order to discover useful patterns across different resources. Using semantic integration of data will give the opportunity to generate information that is rich, auditable and reliable. This information can be used to provide better care, reduce errors and create more confidence in sharing data, thus providing more insights and opportunities. Data resources for two different disease categories will be explored, dementia and lung cancer.

 Deliverables

List of deliverables.
Dissemination & Communication Report V1.0 Documents, reports 2020-04-08 21:50:05
Genomic semantic indexing v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
EHR semantic indexing v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Genomic data analysis v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Clinical notes & image analysis v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
IASIS Conceptual Schema and Integration Rules v1.0 Documents, reports 2020-04-08 21:50:05
Initial Platform Prototype Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Interoperability analysis of biomedical data Documents, reports 2020-04-08 21:50:05
Open data semantic indexing v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Harvesting services for open data v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Harvesting services for genomic data v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:04
Data Management Plan Documents, reports 2020-04-08 21:50:05
Predictive modelling v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:04
Communication Plan Documents, reports 2020-04-08 21:50:05
Open data analysis v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Project Website Websites, patent fillings, videos etc. 2020-04-08 21:50:05
High-Level Analysis Services v1.0 Demonstrators, pilots, prototypes 2020-04-08 21:50:05
Definition of System Architecture Documents, reports 2020-04-08 21:50:05

Take a look to the deliverables list in detail:  detailed list of IASIS deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Eduardo P. García del Valle, Gerardo Lagunes García, Lucia Prieto Santamaría, Massimiliano Zanin, Alejandro Rodríguez González, Ernestina Menasalvas Ruiz
Evaluating Wikipedia as a source of information for disease understanding
published pages: , ISSN: , DOI:
2020-04-08
2018 Rentoumi Vassiliki, Dimitra Arfani, Katerina Fragkopoulou, Spyridoula Varlokosta, and George Paliouras,
Automatic detection of linguistic indicators as a means of early prediction of Alzheimer’s Disease
published pages: , ISSN: , DOI:
2020-04-08
2017 Rentoumi Vassiliki, Dimitra Arfani, Katerina Fragkopoulou, Eva Danasi, Spyridoula Varlokosta, Spyros Papadatos and George Paliouras
Automatic Detection of Linguistic indicators as a means of early detection of Alzheimer’s and of related dementias: A Computational Linguistics analysis
published pages: , ISSN: , DOI:
2020-04-08
2018 Ernestina Menasalvas Ruiz, Juan Manuel Tuñas, Guzmán Bermejo, Consuelo Gonzalo Martín, Alejandro Rodríguez-González, Massimiliano Zanin, Cristina González de Pedro, Marta Méndez, Olga Zaretskaia, Jesús Rey, Consuelo Parejo, Juan Luis Cruz Bermudez, Mariano Provencio
Profiling Lung Cancer Patients Using Electronic Health Records
published pages: , ISSN: 0148-5598, DOI: 10.1007/s10916-018-0975-9
Journal of Medical Systems 42/7 2020-04-08
2018 Maria Torrente, Fernando FrancoErnestina Mensalvas, , Alejandro Rodriguez-Gonzalez, Virginia Calvo, Maria Auxiliadora Brenes, George Paliouras, Mariano Provencio-Pulla
Big Data for Supporting Precision Medicine in Lung Cancer Patient.
published pages: , ISSN: , DOI:
2020-04-08
2018 Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara and Georgios Paliouras
Semantic integration of disease-specific knowledge
published pages: , ISSN: , DOI:
2020-04-08
2018 Maria-Esther Vidal
EU Project Description - iASiS: Big Data for Supporting Precision Medicine and Public Health Policy-Making
published pages: , ISSN: , DOI:
Data Integration in the Life Sciences 2018 2020-04-08
2018 Ignacio Traverso-Ribon, Maria-Esther Vidal
GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristics Description: This paper presents GARUM, a semantic similarity measure that resorts to machine learning methods for learning the most suitable characteristics to consider during the computation of the relatedness of two entities. Knowledge graphs are used to represent the entities, and semantics encoded in the
published pages: , ISSN: , DOI:
2020-04-08
2018 Maria-Esther Vidal
ESWC 2018 Project Networking Track Title: iASiS: Big Data for Supporting Precision Medicine and Public Health Policy-Making Description: This extended abstract describes the objectives of the iASiS project, the main characteristics of the iASiS knowledge graph and the components of the iASiS framework. Resources that will be made available to the Semantic Web community are described as well.
published pages: , ISSN: , DOI:
2020-04-08
2018 Vassiliki Rentoumi, George Paliouras, Anastasia Krithara, Peter Garrard, and Anastasios Nentidis
AAIC \'18 - Alzheimer\'s Association International Conference iASiS: Big Data for Precision Medicine. Automatic Detection of Linguistic Indicators as a Means of Early Prediction of Alzheimer\'s and of Related Dementias
published pages: , ISSN: , DOI:
2020-04-08
2018 César Toro, Consuelo Gonzalo-Martín, Angel García-Pedrero, Ernestina Menasalvas Ruiz
Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker
published pages: 1752, ISSN: 1424-8220, DOI: 10.3390/s18061752
Sensors 18/6 2020-04-08
2018 Kemele M. Endris, Zuhair Almhithawi, Ioanna Lytra, Maria-Esther Vidal, Sören Auer
BOUNCER: Privacy-aware Query Processing Over Federations of RDF Dataset Description: This paper describes BOUNCER, a framework for enforcing data privacy and access control regulations. BOUNCER relies on novel query execution strategy to ensure that data access regulations are satisfied during query execution.
published pages: , ISSN: , DOI:
2020-04-08
2018 Marjan Najafabadipour, Juan Manuel Tuñas, Alejandro Rodríguez-González, Ernestina Menasalvas
Lung Cancer Concept Annotation from Spanish Clinical Narratives
published pages: , ISSN: , DOI:
2020-04-08
2018 Maribel Acosta, Elena Simperl, Fabian Flöck and Maria Esther Vidal.
HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing.
published pages: , ISSN: , DOI:
2020-04-08
2018 Rentoumi Vassiliki, Dimitra Arfani, Katerina Fragkopoulou, Spyridoula Varlokosta, and George Paliouras
Aristotelieio Glosologia - Automatic extraction of linguistic features in Alzheimer’s disease: A computational linguistics approach
published pages: , ISSN: , DOI:
2020-04-08
2018 Ernestina Menasalvas Ruiz, Alejandro Rodríguez-González, Consuelo Gonzalo Martín, Massimiliano Zanin, Juan Manuel Tuñas, Mariano Provencio, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nuñez
IASIS and BigMedilytics: Towards personalized medicine in Europe
published pages: , ISSN: , DOI:
2020-04-08
2018 Sahar Vahdat, Guillermo Palma,Rahul Jyoti Nath1, Christoph Lange, SörenAuer, and Maria-Esther Vidal
Unveiling Scholarly Communities over Knowledge Graphs.
published pages: , ISSN: , DOI:
2020-04-08
2017 Anastasia Krithara, George Paliouras, Anna Triantafillou, Maria-Esther Vidal, Soren Auer, Ernestina Menasalvas, Mariano Provencio Pulla, Maria Torrente, Peter Garrard, Alison Evans, Roderic Guigo, Louiqa Raschid
iASiS: Big Data for Supporting Precision Medicine and Public Health Policy-Making
published pages: , ISSN: , DOI:
2020-04-08
2018 Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Mami, Maria-Esther Vidal, Sören Auer.
Querying Interlinked Data by Bridging RDF Molecule Templates
published pages: , ISSN: , DOI:
2020-04-08
2018 Kuldeep Singh, Arun Sethupat Radhakrishna, Andreas Both, Saeedeh Shekarpour, Ioanna Lytra, Ricardo Usbeck, Akhilesh Vyas, Akmal Khikmatullaev, Dharmen Punjani, Christoph Lange, Maria-Esther Vidal, Jens Lehmann and Sören Auer.
Why Reinvent the Wheel- Let\'s Build Question Answering Systems Together.
published pages: , ISSN: , DOI:
2020-04-08
2018 Diego Collarana, Michael Galkin, Christoph Lange, Simon Scerri, Sören Auer and Maria-Esther Vidal
Synthesizing Knowledge Graphs from web sources with the MINTE+ framework
published pages: , ISSN: , DOI:
2020-04-08
2017 Virginia Aparicio-Paniagua, Jorge Pérez-Muñoz, Alejandro Rodríguez-González, Ángel García-Pedrero, Juan Miguel Gomez-Berbis, Consuelo Gonzalo-Martin, Ernestina Menasalvas-Ruiz, Giner Alor-Hernández
Automatic Recording and Analysis of Somniloquy through the use of Mobile Devices to Support the Diagnosis of Psychological Pathologies
published pages: 169-180, ISSN: , DOI: 10.1007/978-3-319-67283-0_13
24-27 October 2017 2020-04-08

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "IASIS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "IASIS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.1.5.)

CINECA (2019)

Common Infrastructure for National Cohorts in Europe, Canada, and Africa

Read More  

EUCAN-Connect (2019)

A federated FAIR platform enabling large-scale analysis of high-value cohort data connecting Europe and Canada in personalized health

Read More  

EUCANCan (2019)

EUCANCan: a federated network of aligned and interoperable infrastructures for the homogeneous analysis, management and sharing of genomic oncology data for Personalized Medicine.

Read More