A small Italian company, accredited as academic spin-off, offers an informatics framework to aggregate and analyze patient data coming from heterogeneous data sources (clinical, omics, biobank, etc) and from different centres.
Volíem informar de la següent petició en el Enterprise Europe Network:
An Italian academic spin-off offers a data warehouse system to aggregate/integrate, query and analyze patient data, addressing mainly the health-care institutes operating in the field of scientific research.
The company supports the whole phase of integration/aggregation of data coming from different sources, leveraging its expertise in the deployment of advanced functionalities of ETL (i.e. Extract, Trasform and Load) to automate the process of populating the data warehouse and provide a steady and secure update of the entire system.
The system allows the user to query the data-warehouse through a simple and intuitive web interface. This step is facilitated by the use of an ontology of concepts that maps the available patient information. For each research project, a suitable ontology is defined in order to allow the user to easily select the patients of interest by composing even quite complex rules based on such concepts.
The system finally allows the user to perform operations of control, reporting and analysis of data concerning the selected patients, exploiting the available applications. Moreover, the system can be configured according to user's needs by adding customizable analysis tools. In particular, an open-source suite is included in the solution to allow the development of specific tools for statistical analysis. The expertise of the company allows also the implementation of more sophisticated data-mining and bioinformatics approaches.
Data coming from heterogeneous sources can be integrated in the data warehouse system.
Possible types of data are:
- Demographic and clinical data.
- Information related to the samples stored in a biobank. This integration allows the user to perform fast searches by selecting patients for which some samples with certain characteristics are available in the biobank. It is crucial for designing clinical trials, or, more specifically, molecular studies.
- Data extracted from clinical reports written in free text (i.e. natural language) thanks to sophisticated NLP (Natural language processing) algorithms.
- Molecular Big Data: gene expression data, proteomics/metabolomics/lipidomics quantitative data, as well as data generated by Next Generation Sequencing.
An innovative extension of the system allows queries on data of different institutes/hospitals, by retrieving only aggregated counts of patients satisfying the criteria of the query, so that patient privacy is protected. This extension have several useful applications for researchers, health institutions and pharmaceutical companies: planning research projects requiring large sample sizes not easily available at any single institution; identifying potential cohorts for clinical trials.
Current and Potential Domain of Application: The product is thought for all the health-care stakeholders working on patient data: health-care institutes, clusters of health-care centres (e.g., partners of research project) and pharmaceutical companies (design and monitor of clinical trials).
The company seeks:
- collaborations with research divisions of universities, hospitals, pharmaceutical companies for testing the system and for developing new extensions;
- partnership with companies providing bio-medical technologies for distributing the system with technical assistance;
- partnership with other bioinformatics and medical informatics companies/laboratories for developing common R&D projects.
Referència: TOIT20160607001
Link: https://een.ec.europa.eu/tools/services/PRO/Profile/Detail/5349fca2-e894-4c4a-8c2a-8f5eb85af6ff?shid=32db25cb-726f-43b0-8b5f-7742d0935799
Si us interessa alguna tecnologia podeu iniciar les converses, però recordeu guardar la confidencialitat i si heu d'entrar en detall realitzeu un conveni confidencialitat, a la Unitat de Valorització disposem de models en diferents idiomes. En cas que les converses fossin positives hauríeu de formalitzar-ho amb un conveni de recerca per tal de regular la recerca.
Finalment si el que voleu és fer ofertes tecnològiques de la vostra recerca, us agrairem que us poseu en contacte amb la Unitat de Valorització. valoritzacio@udg.edu
Per a més informació podeu contactar amb nosaltres a valoritzacio@udg.edu