Multiple sclerosis (MS) is a lifelong illness that can cause disability and is expensive to treat. Care teams need better ways to identify patients who may face serious problems and higher medical costs in [read more...]

Next-generation RNA sequencing (RNA-seq) enables comprehensive transcriptomic profiling for disease characterization, biomarker discovery, and precision medicine. Despite its potential, RNA-seq has not yet been widely adopted for clinical applications, and a key barrier to [read more...]

This study aims to identify RNA biomarkers distinguishing neuromyelitis optica (NMO) from relapsing-remitting multiple sclerosis (RRMS) and explore potential therapeutic applications leveraging machine learning. Read the full publication at www.jmdjournal.org

The SARS-CoV-2 (COVID-19) pandemic has exposed health disparities throughout the USA, particularly among racial and ethnic minorities. As a result, there is a need for data-driven approaches to pinpoint the unique constellation of clinical and social determinants of health (SDOH) risk factors that give rise to poor patient outcomes following infection in US communities.

The SARS-CoV-2 (COVID-19) pandemic has exposed the need to understand the risk drivers that contribute to uneven morbidity and mortality in US communities. Addressing the community-specific social determinants of health (SDOH) that correlate with spread of SARS-CoV-2 provides an opportunity for targeted public health intervention to promote greater resilience to viral respiratory infections.