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Learning imaging biomarkers:
Machine learning techniques for data-driven disease prediction

Project summary

The researchers develop computer techniques to discover new patterns in large collections of medical imaging data related to diseases such as stroke and lung disease. This helps to predict the patient’s risk of developing a disease, leading to better, more personalized treatment and perhaps even disease prevention.


My project will lead to novel, more sensitive imaging biomarkers of disease, enable earlier diagnosis and better risk stratification, and will eventually lead to more effective and personalized treatment.

More detailed information

Principal Investigator:

Role Erasmus MC:



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