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Predicting outcomes using machine learning

Lilo Health
Research & discovery of insights

Predicting outcomes using machine learning

With our Research Partners, we identify relevant patient journeys to advance scientific research in digital health. Engaged patients are by definition actively interacting on their Lilo mobile application. Within the right study settings, it opens up the potential for prediction-based personalisation to positively impact outcomes.

Lilo Healthcare

Patient drop-out prediction

We collect hundreds of data points throughout the patient journey and connect them to drug-testing results, allowing for the earlier detection of medication drop-out risks, which can be reported back to the HCP.

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Patient drop-out prediction
Digital Health
Lilo Healthcare

Discovery of novel digital biomarkers

By a similar methodology and connecting the data to remote or digital biomarker measurements, we can identify a set of data points as a novel biomarker that can provide accurate insights on the future progression of the disease.

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Lilo Healthcare

Data-driven nudges towards better health

Based on the insights collected, we can create and validate personalized data-driven nudges that further enhance the adoption to the therapy and favourable behaviours, with in mind maximizing the chances of demonstrating better health outcomes.

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Data-driven
Lilo Health

Together, we can advance scientific research in digital health

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