Alfred L. Garfall

The paper develops MAESTRO, a self-supervised deep learning framework to transform immune profiles into embeddings capturing immune health, enabling clinical prediction and precision immunotherapy.

This study shows mast cells enhance myeloma engraftment and promote bone destruction in the NSG-hIL6 xenograft model by secreting factors that improve myeloma cell survival.

The paper uses long-read sequencing to analyze proviral variation in lentiviral vector-transduced CAR T cells, finding deletions and mutations affecting transgene function.

The paper establishes NSG+hIL6 mice as a model for studying multiple myeloma by showing they support engraftment of patient-derived myeloma cells and develop disease features.