During Brain Awareness Week, 10-16 March, we once again focus on the importance of research in stroke.
This year, we highlight six EU-funded research projects we are involved in that are developing innovative solutions to improving stroke care.
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EAST-STROKE: A potential new treatment strategy to prevent recurrent strokes in patients with acute ischemic stroke and Atrial Fibrillation patients
The EAST-STROKE trial is investigating whether Rhythm Control, a treatment that restores normal heart rhythm, can help prevent recurrent strokes and heart complications in patients with both acute ischemic stroke and atrial fibrillation (AF). AF increases stroke risk by causing irregular heartbeats that lead to blood clots, but Rhythm Control is not yet used in acute stroke patients.
The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 101156541
POC4Triage: Revolutionising emergency care with four rapid, Artificial Intelligence-powered diagnostic devices
The POC4Triage project, is developing advanced medical devices and AI technology to improve the speed and accuracy of stroke and cardiorespiratory diagnoses in emergency care. The project is creating four portable diagnostic tools: a vital signs monitoring patch, an EEG patch for stroke detection, a light-based brain monitoring device and a handheld blood test, to help ambulance professionals and doctors make faster treatment decisions. These devices will connect to a hospital data platform, enabling seamless integration and AI-driven insights.
POC4Triage has received funding from the European Union under grant agreement No 101137358.
RES-Q+: A comprehensive solution of healthcare improvement based on the global Registry of Stroke Care Quality
The RES-Q+ project is using AI and digital innovation to improve stroke care by integrating real-world stroke data with advanced technology. Building on the global RES-Q stroke registry, which tracks treatment quality in over 2,100 hospitals, RES-Q+ enhances stroke management with automated data collection and AI-powered virtual assistants. These tools help medical teams improve care processes, assist stroke survivors in tracking their recovery and ensure better follow-up care.
RES-Q+ has received funding from the European Union under grant agreement No 101057603.
TRUSTroke: new EU project uses AI for predictive ischemic stroke management
TRUSTroke is the collaboration of research teams from three European hospitals which safely combines the clinical information from patient reports with artificial intelligence, to identify patterns in disease progression and health risks associated with strokes. It is hoped that this research will help predict the short- and long-term impact of ischemic stroke and enable doctors and patients plan more effective and personalised long-term care.
TRUSTroke has received funding from the European Union in the callHorizon-hlth-2022-stayhlth-01-two-stage under grant agreement No.101080564
UMBRELLA: A new research project aiming to provide faster diagnosis, precise treatment, better recovery and improved stroke prevention
The UMBRELLA project aims to revolutionise stroke care by improving diagnosis, treatment, rehabilitation, and prevention. The research projects aims to speed up stroke diagnosis, tailor treatments to individual patients, expand access to recovery tools and investigate unknown stroke causes.
This project is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) under grant agreement No 101172825.
VALIDATE: Using Artificial Intelligence to improve outcomes for stroke patients
The VALIDATE team are leveraging datasets encompassing thousands of patient profiles and state-of-the-art AI models, to develop and validate a clinical decision support system in an App format. The App aims to empower healthcare professionals in choosing the optimal treatment strategy tailored to each patient’s unique circumstances to improve stroke outcomes.
VALIDATE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777107.
