Valsamo Anagnostou

This study tracks ctDNA and immune cell changes in lung cancer patients on immunotherapy to identify molecular responses and immune-related toxicities.

The paper introduces BigMHC, a deep learning model that predicts MHC-I epitopes and immunogenic neoepitopes with high accuracy, outperforming existing methods.

This study identifies molecular and immune features associated with response to anti-PD-(L)1 therapy in NSCLC using a cohort of 393 patients.

This study evaluates machine learning methods for predicting peptide-MHC Class I binding affinities, finding that MHCnuggets performs similarly to existing methods but is faster and handles variable-length peptides.