About iCARE4CVD
iCARE4CVD is a public-private research collaboration aiming to personalise prevention and treatment of cardiovascular disease. The project is led by Maastricht University and Novo Nordisk and joins 34 leading international partners from civil society, academia and industry.
iCARE4CVD ambition
The iCARE4CVD team is united in the pursuit of improving the healthcare of patients affected CVD. By creating one database gathering data from more than 1 million patients and using artificial intelligence, iCARE4CVD will look for new strategies to shift from a one-size-fits-all approach to personalised care.
iCARE4CVD aims to improve four key areas of current CVD healthcare:
- Enhancing early diagnosis of patients at risk with cardiovascular disease
- Developing and assign risk levels to patients, defining those who need urgent intervention
- Predict how individuals will respond to treatment through the application of AI-based tools
- Ensure the inclusion of patient-supported outcomes by incorporating their unique perspectives into every area of our work
The project will achieve this by:
Collecting large existing patient cohorts
covering patients of all CVD stages - from early risk to established heart failure
Establishing a federated database for sustainable data collection and storage
ensuring private and confidential remote access to data on an individual level
Identifying and determining the value of novel and known biomarkers
to support early detection, monitoring, and treatment guidance for the entire spectrum of patients
Conducting in-depth qualitative research with patients and other stakeholders
to build a motivational framework for self-care by patients and ensure their needs are incorporated into the outputs of the project
Developing artificial intelligence (AI)-based models to support diagnosis and predict risk and treatment responses
to map the complete patient journey and response to interventions in CVD
Addressing legal and regulatory needs
to fast track the adoption of the new care pathways into the clinical setting
Validating AI-based models prospectively towards precision medicine
enabling the development of personalised care pathways
iCARE4CVD structure
Workpackages
Workpackage
WP1 will gather and organise health information from of a wide range of CVD patients. This will include information on medical tests (diagnostic screenings), the presence of other medical conditions (comorbidities), data from fitness trackers and health apps (wearable data) and other measurable indicators of health in the body (biomarkers).
The goal is to organise this information into a large database (in WP2) so it can be used to better understand these health conditions and find the best ways to treat them. This information will be standardised and documented uniformly to ensure other researchers and health professionals can easily access, understand and use it.
In addition, WP1 will lay the foundations for a prospective clinical trial with type 1 diabetes patients, which will be carried later in the project (WP6) to address knowledge gaps about this patient population.
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Workpackage
A federated database is a type of database management system that
transparently combines multiple independent databases into a centralized
system that preserves privacy for health data sharing and analysis. This
will keep the data being collected in WP1 secure and allow it to be easily
analysed to help iCARE4CVD achieve its goals.
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Workpackage
By conducting a systematic review on the current standard of biomarker
use in CVD, iCARE4CVD will describe how these biomarkers relate to
disease progression, the body’s response to CVD, and their use in current
standard practice.
This will allow us to define correlations between different biomarkers,
identify existing gaps, and enable us to model the entire spectrum of CVD
from early risk to advanced disease progression.
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Workpackage
As individuals who have lived experience along the CVD spectrum,
patients are able to offer a unique and valuable insight that cannot be
gained elsewhere. WP4 will focus on identifying patient reported outcome
measures (PROMs), patient reported experience measures (PREMs), and a
motivational model.
This information will allow us to retrieve information about patient
requirements and preferences regarding health-related decisions,
precision medicine, technology, and data sharing. Altogether we hope to
adapt this to the requirements of healthcare professionals, and facilitate
the integration of iCARE4CVD results into the clinic.
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Workpackage
Everything comes together in WP5. By applying cutting-edge AI and
machine learning techniques, this WP will model and analyse the data that
was collected in WP1, assembled in WP2, and facilitated by WP3 and WP4.
These models will aid in defining novel subgroups of CVD patients,
assessing CVD risk prediction, and predicting how patients respond to
treatment to improve outcomes based on individual biomarker profiles.
These models will be evaluated prospectively in WP6 (clinical validation).
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Workpackage
The primary objective of WP6 is to validate the models produced in WP5
by analysing the development, risk and progression of CVD, and Heart
Failure.
WP6 will aim to validate the most promising treatment response
prediction model in a Phase 2B trial in the hopes of validating interaction
between biomarker profile and treatment response determined in earlier
WPs.
This means that treatment will be individually adjusted based on the
biomarker profile and compared to a control group (who will receive
standard care). Patients will be randomly allocated to one of these groups
for 15 months, where the main outcome we will look for will be whether
the biomarker guided treatment response leads to an improvement in
CVD condition compared to standard care.
Lastly, WP6 will also focus on continuing the prospective trial in type1
diabetes from WP1 but will enhance the intervention by validating the
model produced in WP5 to predict patients most likely to benefit from
cardio-renal protection therapy.
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Workpackage
In order for the results generated by iCARE4CVD to find their way into
clinical practice, WP7 will focus on developing and implementing cost-
effective, patient-oriented care pathways.
A CVD care pathway is a healthcare management tool that can be used to
coordinate and standardize the care of patients with CVD. They are used
to outline the recommended sequence of treatment and can exist to aid
healthcare professionals such as doctors or even be developed for patient
to use themselves.
By combining the results of WPs 1-6, we aim to discuss these novel care
pathways with patients and healthcare professionals alike, enabling
iCARE4CVD to create tools with real-world applications – such as more
accurate diagnosis, treatment response, and risk prediction.
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Workpackage
iCARE4CVD’s vision to pave the way to better care for individuals with
CVD could not be realised without careful insight into the regulatory, legal,
reimbursement, and policy landscape relevant to CVD. By defining a
roadmap, framework, and a strategy for biomarker and medical AI
developments that is safe, ethical, and successful, WP8 will aim to
facilitate a successful adaption and implementation of iCARE4CVD’s
medical tools.
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Workpackage
WP9 will focus on communicating the iCARE4CVD’s progress and results to
everyone that can benefit from our novel research. By facilitating effective
patient-engagement and two-way communication, WP9 provides a
platform for the patient voice within iCARE4CVD.
Through collecting patient feedback and aiding dialogue between patients
and the project, WP9 ensures we follow a patient-centric approach.
Moreover, we will develop a strategic communication and dissemination
plan that delivers tailored messages to all other key target audiences the
project aims to connect with, such as industry, health care professionals,
regulatory authorities, researchers, and citizens. In doing so, WP9 lays the
foundation for future exploitation of project outputs such as the federated
database and novel decision tools.
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Workpackage
WP10 focuses on managing the project and coordinating financial and technical reporting,ensuring timely execution of planned work and completion of all WPs.
WP10 duties include monitoring project progress, identifying deviations in the work plan, supporting decision-making, and proposing changes as needed. Ethics management, data management, quality,risk, and financial management, as well as setting up a Technical and Scientific Advisory Boards, are also key components of this WP.
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