Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
A step towards better sleep science: a large sleep-wake scoring benchmark
For many years, sleep-wake scoring algorithms were created and validated with small and private datasets with no more than one hundred participants. In this paper, we devised the largest dataset up to date for the sleep-wake classification problem and analyzed the performance of popular traditional algorithms as well as state-of-the-art machine learning techniques to tackle this problem. By making this dataset public, researchers can use our data and results as a benchmark to develop newer algorithms.
The gut microbiome following acute HIV-1 infection
To our knowledge, this is the most comprehensive prospective study investigating the longitudinal impact of acute HIV-1 infection in an HIV-1 hyperendemic area such as the Manhiça district in Mozambique. This unique study confirms and extends previous findings in non-human primate models and provides critical insights into the impact of infections in the gut microbiome as well as into the pathogenesis of HIV-1 infection.
