Personalised Medicine by Predictive Modeling in Stroke for better Quality of Life

Stroke is one of the most severe medical problems with far-reaching public health and socio-economic impact, gathering momentum in an ageing society. ADAPT researcher and TU Dublin ADAPT Partner Lead Prof. John Kelleher’s successful H2020 project, Personalised Medicine by Predictive Modeling in Stroke for better Quality of Life, (PRECISE4Q) aims to minimise the burden of stroke for the individual and society. Over the course of 4 years, the project will create multi-dimensional data-driven predictive simulation computer models enabling personalised stroke treatment, addressing patient’s needs in four stages: prevention, acute treatment, rehabilitation and reintegration.

The project will utilise complex deep-learning and gradient boosting models as well as novel hybrid model architectures and structured prediction models to form a Digital Stroke Patient Platform including a Stroke Risk Clinical Decision Support System, Treatment Outcomes, Rehab Programmes, SOcio-Economic Planning tools and a new QvidLab. The decision support will be tailored to the patient’s current life stage enabling clinicians to optimise prevention and treatment strategies over time, and will include personalised coping strategies, support of well-being and reintegration into social life and work.

PRECISE4Q will have a clinically measurable and sustainable impact leading to better understanding of risk, health and resilience factors. In contrast to current schematic therapy guidelines, it will support patients throughout their life-long journey by personalised strategies for their specific needs.

Learn more here:

  • Start date: 1 May 2018
  • PI: John Kelleher (Partner)
  • Acronym: Precise4Q
  • Title: Personalised Medicine by Predictive Modelling in Stroke for better Quality of Life
  • Website:
  • Grant ID: 777107
  • Overall budget: €5,978,245
Project Contact
  • John Kelleher