SUPR
Systems virology studies, AI & machine learning for improving severity biomarker identification
Dnr:

NAISS 2025/23-256

Type:

NAISS Small Storage

Principal Investigator:

Indranil Sinha

Affiliation:

Karolinska Institutet

Start Date:

2025-07-01

End Date:

2026-05-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (Applications at 10610)

Webpage:

Allocation

Abstract

This is a EU-funded initiative to combat global dengue epidemic. The early detection of dengue patients at risk of developing severe outcomes is crucial for managing healthcare resources effectively, mainly to prevent hospitalization. Despite the identification of specific biomarkers that are indicative of acute inflammation and hepatic involvement, there remains a significant need to develop reliable predictive tools for early intervention in dengue management. All our sensitive data will be analyzed at Uppmax Bianca server. This resource will be used to analyze publicly available data and non-sensitive data generated from this project data.