Abstract
In this thesis the heterogeneity of respiratory diseases such as moderate-to-severe asthma and long COVID was explored using machine learning techniques. Different layers of information were used, including clinical characteristics, the blood and nasal transcriptome, the microbiome and the epigenome to uncover broad aspects of the diseases. The objectives of the
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 26 Mar 2025 |
| Print ISBNs | 9789465220864 |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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