Cleveland Clinic And IBM Researchers Create Quantum Machine Learning Framework to Predict Neoantigen Immune Response

Insider Brief

Cleveland Clinic and IBM researchers developed a quantum machine learning framework called Q-CHIPP that improved prediction of cancer neoantigens likely to trigger an immune response, outperforming classical methods under data-limited conditions.

The quantum convolutional neural network learned meaningful biological patterns from training datasets as small as 150 samples and was scaled to model full-length peptides on quantum hardware using 46 qubits.

Researchers say the approach could improve identification of therapeutic targets and support the development of more personalized cancer immunotherapies and next-generation cancer vaccines.

PRESS RELEASE — 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.