Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in immuno-oncology: predicting which tumor mutations will trigger an immune response.  

Their framework, Quantum Convolutional HLA Immunogenic Peptide Prediction (Q-CHIPP), combined predictions of antigen presentation and immunotherapy response into a unified framework. It outperformed classical computing methods by improving accuracy under data-limited conditions, according to results published in Science Advances.