Debugging lung diseases: applying mathematical techniques for precision medicine on the pulmonary microbiome through modelling, data integration and machine learning

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...

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Bibliographic Details
Main Author: Jayanth Kumar Narayana
Other Authors: Sanjay Haresh Chotirmall
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Mathematical Sciences
Medicine, Health and Life Sciences
Microbiome
Data integration
Lung diseases
Machine learning
Metagenomics
Online Access:https://hdl.handle.net/10356/173817
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/173817

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