Early Detection and Diagnosis of Sleep Disorders and Comorbidities through Integrated Risk Prediction

Acronym

PRECISE SLEEP

Description of the granted funding

Sleep disorders like narcolepsy and sleep apnea are common but often underdiagnosed diseases. One reason is that symptoms such as fatigue, poor sleep, and trouble concentrating can be caused by many different conditions including heart problems, or neurological diseases. Our project aims to use data from genetics, health records, and sleep tests to build new tools that predict who is at risk and which condition they may have. We use data from the entire Finnish population and advanced machine learning to better understand the biological differences between sleep disorders and between sleep and other diseases. This project will help healthcare providers identify the right diagnosis earlier, leading to faster, more accurate treatment.
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Starting year

2026

End year

2029

Granted funding

Enni Sanmark Orcid -palvelun logo
299 806 €



Role in consortium of the Academy of Finland

Leader

Other consortium parties

Partner
University of Helsinki (373335)
381 315 €
Partner
University of Helsinki (373336)
308 736 €

Funder

Research Council of Finland

Funding instrument

Targeted Academy projects

Decision maker

Suomen akatemian muu päättäjä
05.12.2025

Other information

Funding decision number

373334

Research fields

Kliiniset lääketieteet

Identified topics

public health, occupational health