De-escalating care using computational oncology

Introduction: When considering the use of NACT for breast cancer, healthcare providers and patients must weigh the risks associated with different potential standard of care (SoC) treatment regimens against the likelihood of achieving a desired outcome. The decision of treatment…

A transdisciplinary approach for characterizing racial differences in the biology of breast cancer by integrating imaging and -omics data

Background: Racial disparities in breast cancer incidence and clinical outcome have become increasingly recognized. In particular, African American (AA) patients have higher mortality rates than other racial groups. Research into these racial disparities has primarily focused on socioeconomic determinants, with…

Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics

Abstract: Background Recent results from single cell gene and protein regulation studies are starting to uncover the previously underappreciated fact that individual cells within a population exhibit high variability in the expression of mRNA and proteins (i.e., molecular variability). By…