Data-driven research – models and AI
This research area aims at developing data collection capabilities for development of advanced models, integrating national and international data sets (SciLifeLab and EBI COVID-19 data hubs). Promote FAIR and real-time open science and integration of molecular and medical data.
This area consists of 5 individual projects, all together funded by a total of 2,8 MSEK. Led by researchers at Uppsala University, KTH Royal Institute of Technology, Karolinska Institutet, Linköping University and Lund University.
Coordinator: Ola Spjuth, Uppsala University
Scientific lead: Johan Rung, Uppsala University
A multi-level digital twin framework for Covid-19: from mechanisms of disease ethiology, to clinical decision-support and epidemiology
Gunnar Cedersund, Linköping University
Building a platform with AI models, datasets and web applications for fighting COVID-19
Emma Lundberg, KTH
Artificial intelligence-based knowledge curation to direct COVID-19 research and public health efforts
Sonja Aits, Lund University