Objetivo
LipidDrive is a breakthrough cloud computing platform and mobile app that allows researchers in the growing field of lipidomics to process, store and share analytical data in a standardized format.
Lipidomics is the study of lipid molecules in cells, tissues and biofluids. Due to its low cost, high accuracy and deep insights into cellular function, it has the potential to revolutionize medical science. However it is blocked by a lack of data standardization, processing capacity and collaboration.
There are no common protocols for lipidomics data output. 70% of lipidomics data is incomparible, wasting €14 million in research costs annually. Tests require large computer processing power, which most researchers do not possess. There are few online resources for data collaboration.
Addressing these challenges, LipidDrive is a cloud-based platform for high-quality lipidomics data analysis. Users upload mass spectrometry data sets, which are processed by algorithms to ensure quality control, and are output according to new data standards. LipidDrive’s cloud computing service processes high-throughput data in any format, replacing desktop-based software with limited capacity. It also provides an online resource of latest research, lipid and biomarker libraries, communication tools and APIs for third-party data utilization.
LipidDrive is an unrivaled ICT service developed by Dr Kim Ekroos, a leading lipidomics expert. It will target researchers in universities, pharmaceutical and nutritional industries, and hospitals and clinics through direct sales and partnerships with hardware vendors. Demand and willingness to pay have been confirmed by interest from several large pharmaceutical companies.
Lipidomics is expected to follow the growth path of proteomics, which is worth €20 billion annually. LipidDrive will become the most valuable online resource for this fast-emerging industry. The proposed feasibility study will test the technology and prepare for commercialization.
Ámbito científico
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- natural sciencescomputer and information sciencesdata science
- social scienceseconomics and businessbusiness and managementcommercee-commerce
- natural sciencesbiological sciencesbiochemistrybiomoleculeslipids
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
- medical and health sciences
Programa(s)
- H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being Main Programme
- H2020-EU.3.1.4. - Active ageing and self-management of health
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
- H2020-EU.3.1.6. - Health care provision and integrated care
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEINST-1-2016-2017
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
02230 Esbo
Finlandia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.