SUPR
Early Disease Detection Using Artificial Intelligence
Dnr:

sens2024589

Type:

NAISS SENS

Principal Investigator:

Beatrice Melin

Affiliation:

Umeå universitet

Start Date:

2024-06-14

End Date:

2025-07-01

Primary Classification:

30203: Cancer and Oncology

Allocation

Abstract

With a focus on understanding disease development, identifying early detection biomarkers, and investigating comorbidities, PREDICT aims to foster scientific collaboration, establish a robust platform for precision medicine, and pave the way for early disease risk identification and improved treatments. In this project, we will utilize AI models and machine learning methods to find indications of disease at an early stage based on a person’s available health and registry data and omics-data generated from blood samples.