William Moore

TL;DR: Patients with COVID-19 infection and invasive mechanical ventilation had a higher rate of barotrauma than patients with acute respiratory distress syndrome and patients without COVID -19 infection.

TL;DR: This lower airway dysbiotic signature was more prevalent in group IIIB-IV TNM stage lung cancer and is associated with poor prognosis, as shown by decreased survival among subjects with early stage disease (I-IIIA) and worse tumor progression as measured by RECIST scores.

TL;DR: In this article, the authors proposed a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images and a gradient boosting model.

TL;DR: This data indicates that pro-thombotic events in COVID-19 (COVID+) patients with high PE rates are likely to be associated with atypical EGFRs, and further research is needed to establish a causative mechanism.

TL;DR: The findings demonstrate the potential of the proposed system for assisting front-line physicians in the triage of COVID-19 patients and silently deployed a preliminary version of the deep neural network at New York University Langone Health during the first wave of the pandemic, which produced accurate predictions in real-time.