Hannah Faisal Almubarak

The paper develops an AI framework to analyze blood scans and predict patient outcomes by characterizing tumor-immune ecosystems in circulation.

This paper introduces an antibody language model (AbLM) to accelerate IgG screening and design for broad-spectrum antiviral therapy, achieving higher precision in predicting variant-resistant antibodies.

The paper identifies a rare subset of CD4 and CD8 double positive T cells that form clusters with circulating tumor cells, promoting cancer metastasis through immune suppression and integrin-mediated interactions.