Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Predicting severe COVID-19 using a simple clinical risk score
The combination of clinical and laboratory parameters on admission can accurately predict severe disease amongst COVID-19 patients
A metric for spatially explicit contributions to science-based species targets
We know that there are a great many species at risk of extinction, and it is easy to feel overwhelmed by the scale of action needed to conserve them. Where do we start tackling the pressures that are threatening these species, and encourage as many sectors as possible to act?
Analysis of the Effects of Spaceflight and Local Administration of Thrombopoietin to a Femoral Defect Injury on Distal Skeletal Sites
Our recently published paper evidences a novel therapeutically approach for bone healing that improves osteogenesis in the absence of mechanical loading.
Written by Ariane Zamarioli and Melissa Kacena
What is the diagnostic accuracy of deep learning algorithms on medical imaging and what is the quality of evidence supporting this?
Our systematic review and meta-analysis provides a critical assessment of the deep learning literature to date and proposes recommendations to improve the quality of deep learning research in the future.
