Abstract
Artificial Intelligence is on the verge of gaining a seminal role in advanced medicine. This brings new hope for modern cancer care, where success of treatment often depends on identifying targeted therapies that match a patient’s disease profile. In this dissertation, for the first time radiographic, biological, and clinical data were integrated to develop intelligent models that can predict which patients will respond better to a specific therapy. Based on the results of this dissertation, in the future doctors could use the proposed machine learning approach to analyse patients in a way that allows selection of optimal treatment strategies.
Original language | English |
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Awarding Institution |
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Supervisors/Advisors |
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Award date | 8 Mar 2018 |
Place of Publication | Maastricht |
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Print ISBNs | 9789461598103 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- AI
- cancer
- precision medicine
- big data
- machine learning
- radiomics
- genomics
- diagnostic
- survival