Debugging lung diseases: applying mathematical techniques for precision medicine on the pulmonary microbiome through modelling, data integration and machine learning
Background: The pulmonary microbiome plays a crucial role in chronic respi- ratory diseases. However, the translation of mathematical approaches for clinical value remains limited. This thesis aims to bridge the gap between mathematical techniques and clinical sciences to explore the potential of th...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/173817 |