Kamila Naxerova

The paper distinguishes between mutations that drive cancer and those that arise from normal tissue evolution by analyzing patient age across cancer and normal genomes.

This study shows that silencing Spp1 in TREM2+ cardiac macrophages reduces atrial fibrosis and suppresses AFib in mice, suggesting a new immunotherapy approach.

The paper shows that bone marrow stromal cells in HFpEF respond to IFNγ, driving monocyte expansion and fibrosis, which can be mitigated by IFNγ receptor deletion.

This study examines the evolutionary dynamics of peritoneal metastases in colorectal cancer, finding they are more heterogeneous than liver metastases but less diverse than locoregional metastases.

The paper introduces DeepProfile, a deep learning framework for analyzing gene expression in 18 cancers, revealing biological insights through latent space analysis and linking gene expression to clinical outcomes.