Robert H. Vonderheide

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 that adding IL-12 mRNA-LNPs to an mRNA vaccine enhances CD8+ T cell responses against model antigens and improves protection against infections and tumors.

This study shows that IL-27, induced by mRNA-LNP vaccines, enhances CD8+ T cell responses through type I IFN signaling, improving vaccine efficacy against pathogens and tumors.

This study identifies PRMT inhibitors as effective combinational therapies with PARP inhibitors to sensitize HR-proficient ovarian and breast cancer cells to treatment.

This study evaluates the therapeutic potential of RMC-7977, a broad-spectrum RAS inhibitor, in pancreatic ductal adenocarcinoma models, showing strong anti-tumor effects with minimal impact on normal tissues.

This study uses machine learning to analyze spatial proteomic data from pancreatic cancer patients, linking T cell function and localization to neoadjuvant CD40 therapy and clinical outcomes.

The paper presents a cost-effective, non-commercial protocol for normalizing TCRβ CDR3 sequencing data to correct amplification bias in bulk TCR repertoire profiling.