Top Sector Life Sciences & Health (LSH) entails a broad scope of disciplines, from pharmaceuticals to medical technology and from healthcare infrastructure to vaccination. To realise its mission – vital citizens in a healthy economy - the Top Sector builds on the strengths of the Dutch LSH sector to address the biggest societal challenges in prevention, cure and care. By funding multidisciplinary public-private partnerships (PPPs) the Top Sector aims to facilitate innovation. Here we give an overview of  a number of funded R&D projects by Top Sector LSH. The page is updated continuously.

Cardiovascular precision medicine by integrating diagnostic modalities

Cardiovascular precision medicine through autoMated integrATEd diagnostics - CardioMATE

Optimal medical therapy relies on establishing a firm and correct diagnosis. Hence, diagnosis finding forms a significant part in medical education and daily care. Still, about 10% of diagnosis are usually inaccurate and the increasing availability of diagnostic modalities leads to unnecessary testing and overuse, leading to significant burden for the patient and high economic costs. Diagnostic devices are mostly quantitative, especially for routine laboratory parameters. Such parameters can form the backbone for identifying the underlying pathology in a cost-efficient and fast way. However, the plethora of available measurements and in particular their interpretation can be cumbersome even for experienced clinicians. The aim of the current project CardioMATE is to deliver personalised high precision medicine to cardiovascular disease patients entering the UMC via the “Hart- en Vaatcentrum” by helping doctors choose the most efficient use of diagnostic means for a given patient.

A stepwise approach will be followed to develop algorithms that calculate diagnostic workup advice by:

A) Disease scope: the electronic health record (EHR) data will be extracted from patients enrolled in the Utrecht Cardiovascular Cohort (UCC) and group them by (final) diagnoses. 

B) Diagnostic scope: The disease scope will be linked to the diagnostic modalities that were used. The final diagnoses from the electronic health record data will then be linked to the patient journey, i.e. the diagnostic trajectory that the patient went through to confirm the final diagnosis. 

C) Developing the diagnostic database: For each combination of disease and diagnostic modality within the scope, sensitivity and specificity will be calculated.

D) Developing and validating the diagnostic selection algorithm: Together with patients, clinicians and supporting specialists, we will organise workshops to validate the output of the algorithm and refine it accordingly.