More specifically, deep learning methods and neural networks alike can be utilised to analyse large databases of data efficiently and precisely, to interpret complex genomic profiles as well as to identify driver mutations, genomic alterations and potential drug targets commonly involved in the development of HCC such as TP53, to better inform and guide treatment [88,89]. Here, TP53 is linked to hepatocellular carcinoma.