We leveraged the largely untapped resource of electronic health record data to address critical
clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To …

Background Understanding the fundamental mechanisms of tumorigenesis remains one of
the most pressing problems in modern biology. To this end, stem-like cells with tumor-…

Background Autism spectrum disorder (ASD) is a common neurodevelopmental disorder
that tends to co-occur with other diseases, including asthma, inflammatory bowel disease, …

Objective For multi-center heterogeneous Real-World Data (RWD) with time-to-event outcomes
and high-dimensional features, we propose the SurvMaximin algorithm to estimate Cox …

Background Presenting features of inflammatory bowel disease (IBD) are non-specific. We
hypothesized that mRNA profiles could (1) identify genes and pathways involved in disease …

Given the growing number of prediction algorithms developed to predict COVID-19 mortality,
we evaluated the transportability of a mortality prediction algorithm using a multi-national …

The elucidation of disease etiologies and establishment of robust, scalable, high-throughput
screening assays for autism spectrum disorders (ASDs) have been impeded by both …

We develop an algorithm for probabilistic linkage of de-identified research datasets at the
patient level, when only diagnosis codes with discrepancies and no personal health identifiers …

Background Many countries have experienced 2 predominant waves of COVID-19–related
hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate …

Background Accidental falls among people aged 65 years and older caused approximately
2,700,000 injuries, 27,000 deaths, and cost more than 34 billion dollars in the US annually in …