This module provides an introduction to data science, machine learning (ML) and AI, focussing specifically on their applications of analysing omics (e.g., transcriptomics and proteomics) and imaging data to identify novel features in biomedical and cancer research. Lectures cover the methods, algorithms, workflows and application examples for different ML/AI techniques, as well as research / clinical questions they can address. In practical sessions, students will gain hands-on experience in applying ML/AI techniques to different data types to generate robust and meaningful results.

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