Machine learning models effectively predict the risk of post-stroke epilepsy using extensive clinical data, offering new insights for improving patient management in clinical neurology.
Rarity metrics reveal pervasive negative impacts of agricultural land use on soil invertebrate communities, whereas widely-used richness and diversity metrics underestimate the magnitude of these impacts.
João Paulo Portela Catani, Anouk Smet ... Thorsten U Vogel
N2 neuraminidases from human H3N2 viruses from 2009 until 2017 can be subdivided into four antigenic groups, with amino acid substitutions near the catalytic site more likely impacting neuraminidase inhibition.
Kyra Hermanns, Marco Marklewitz ... Sandra Junglen
Analysis of naturally infected mosquitoes shows that ecosystem disturbance can lead to a turnover in host community composition and that more individuals of a single species are a key driver of virus emergence.
Carbon dynamics and the relative availability of key nutrients during litter decomposition are modified by changing biodiversity in the Earth’s forests.
Amanda C Perofsky, John Huddleston ... Cécile Viboud
Antigenic drift in influenza’s major surface proteins, hemagglutinin and neuraminidase, contributes to variability in epidemic magnitude across seasons but is less influential than subtype interference in shaping annual outbreaks.
Amanda J Lea, Christopher M Vockley ... Jenny Tung
mSTARR-seq identifies regions of the genome where DNA methylation causally impacts gene expression, providing a map of which epigenetic marks may influence trait variation.
A multi-cohort analysis of 2,500 gut microbiomes and five major diseases discovers that disease-microbiome associations display specific age-centric trends, with diseases characterized by age-centric trends of species gain/loss.