Zohreh Shams

The paper uses a novel system to classify TCRs as antigen-reactive or not and identifies physicochemical patterns predictive of antigen reactivity.

REM extracts interpretable rules from deep learning and non-deep learning models to enhance explainability in healthcare decision-making.

This paper explores autoencoder architectures for integrating cancer patient data and demonstrates their effectiveness in analyzing heterogeneous breast cancer data for accurate diagnosis.