Enhancing physicians' radiology diagnostics of COVID-19's effects on lung health by leveraging artificial intelligence.

This study aimed to develop an individualized artificial intelligence model to help radiologists assess the severity of COVID-19's effects on patients' lung health. Data was collected from medical records of 1103 patients diagnosed with COVID-19 using RT- qPCR between March and June 2020, in Hospital Madrid-Group (HM-Group, Spain). By using Convolutional Neural Networks, we determine the effects of COVID-19 in terms of lung area, opacities, and pulmonary air density.

Role of Innate and Adaptive Cytokines in the Survival of COVID-19 Patients.

SARS-CoV-2 is a new coronavirus characterized by a high infection and transmission capacity. A significant number of patients develop inadequate immune responses that produce massive releases of cytokines that compromise their survival. Soluble factors are clinically and pathologically relevant in COVID-19 survival but remain only partially characterized.

Impact of the Innate Inflammatory Response on ICU Admission and Death in Hospitalized Patients with COVID-19.

Objective: To describe the capacity of a broad spectrum of cytokines and growth factors to predict ICU admission and/or death in patients with severe COVID-19.

Design: An observational, analytical, retrospective cohort study with longitudinal follow-up.

Setting: Hospital Universitario Príncipe de Asturias (HUPA).