Personalizing cancer treatment through machine learning
Researchers at the Cheriton School of Computer Science have applied machine learning to identify tumour-specific antigens, which could help make personalized cancer vaccines practically feasible and more accurate.
In cancer, when a mutation occurs in a cell’s DNA, a substitution takes place. This substitution is flagged as an invader by our immune system and is referred to as a neoantigen, a mutated peptide that appears on the surface of cancer cells.


