Many of the molecular data sets collected in the context of precision medicine and health pose statistical and machine learning challenges that are very different from those encountered in most artificial intelligence applications. Indeed, we are facing a setting where data are scarce and high-dimensional – there are orders of magnitudes more nucleotides in a human genome than patients suffering from a specific disease. This is therefore an exciting field providing us with many open problems and challenges.


