Objetivo
The problem: Intravenous thrombolysis is by far the most effective treatment of Acute Ischaemic Stroke (AIS), and its use can independently strongly increase the proportion of AIS patients surviving. However, in the emergency setting of AIS an excess of information must be considered by the physician including imaging, clinical presentation and electronic health record data before safely inferring on the suitability of thrombolytic therapy. Still, the therapeutic decision is largely dependent on the capacity of the expert radiologist in predicting what is the outcome for the given patient after applying the pharmacological treatment – a problem further compounded by the heterogeneity in AIS progression.
The solution: iTRUST solution is a clinical decision support system that uses Convolutional Neural Networks to predict the outcome of the AIS for each patient based on the patient’s biomarkers as well as clinical information. The prediction is presented as a probability of infarction when using pharmacological treatment or mechanical recanalization, making the prediction much more useful compared to current methods.
The market: The global AIS diagnosis and treatment market was valued at USD 1.2 billion in 2013 and is estimated to reach a market worth of USD 1.9 billion in 2020 growing at a CAGR of 6.3% from 2014 to 2020. Given the high incidence of AIS cases and the high importance of quickly allocating the appropriate therapeutic intervention, we have reasons to believe that iTRUST solution can generate an accumulated turnover exceeding EUR 32 million, five years post-project.
Ámbito científico
- natural sciencescomputer and information sciencessoftware
- medical and health sciencesclinical medicinesurgery
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- medical and health sciencesbasic medicineneurologystroke
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
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
8000 Aarhus C
Dinamarca
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.