Alexander V. Ratushny

Mechanistic modeling suggests stroma-targeting antibody-drug conjugates as an alternative to cancer-targeting in cases of heterogeneous target expression

This paper uses mathematical models to compare cancer-targeting and stroma-targeting ADCs, finding that stroma-targeting may be more effective in cases of heterogeneous antigen expression.

Patient-specific cell communication networks associate with disease progression in cancer

The paper develops a method to generate patient-specific cell communication networks from gene expression data and shows that specific communication edges are associated with disease progression in cancer.

Genetic program activity delineates risk, relapse, and therapy responsiveness in Multiple Myeloma

The paper identifies 141 genetic programs in multiple myeloma that predict disease outcomes and reveal mechanisms of relapse and therapy response.

TREM2 R47H exacerbates immune response in Alzheimer's disease brain

This study investigates how the TREM2 R47H variant affects immune responses in Alzheimer's disease by comparing gene expression in different patient groups.

Integrative network modeling reveals mechanisms underlying T cell exhaustion

The paper uses network modeling to identify molecular mechanisms driving T cell exhaustion and validates predictions through experimental testing.

ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells

ADAPTS improves cell type deconvolution in single-cell RNAseq data by customizing signature matrices and using hierarchical clustering to refine cell type identification.