Seems quite a big move forward. Will we be able to learn which amino acid sequences will work best to fight cancer?
Using Machine Learning to Develop Personalized Cancer Vaccines
University of Waterloo Cheriton School of Computer Science (Canada) via ACM
Researchers at Canada's University of Waterloo Cheriton School of Computer Science are applying machine learning to identify tumor-specific neoantigens, which could lead to personalized cancer vaccines. Cheriton's Hieu Tran said the team used a model similar to natural language processing to ascertain neoantigens' amino acid sequences based on one-letter amino acid codes. The researchers used the DeepNovo recurrent neural network to predict amino acid sequences, which Tran said expanded the predicted immunopeptidomes of five melanoma patients by 5% to 15%, based solely on data from mass spectrometry—and personalized the neoantigens to each patient.
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