David S. Wishart

TL;DR: The authors used machine learning techniques to design an adaptive learner that, based on epidemiological data available at any given time, produces a model that accurately forecasts the number of reported COVID-19 deaths and cases in the United States, up to 10 weeks into the future with a mean absolute percentage error of 9%.

TL;DR: Targeted tandem mass spectrometry (MS/MS)-based metabolomic assays were used to identify and quantify 136 metabolites of biomedical interest in the urine from 48 healthy, full-term term neonates, collected in the first 24 h of life.

TL;DR: Data indicate that recombinant incretin-secreting microbes may offer a novel and safe means of managing cholesterol metabolism and diet induced dyslipidaemia, as well as insulin sensitivity in metabolic dysfunction.

TL;DR: The BioTools Suite is a set of three comprehensive, platform-independent software packages developed for sequence assembly and analysis that incorporate a number of useful innovations including uniform graphical-user interface (GUI) design, direct internet connectivity, a novel approach to feature annotation, and a variety of enhanced algorithms for large scale proteome and genome analysis.

TL;DR: Single chain Fv-170 maintained the intrinsic binding activity and exhibited the same binding pattern as that of MAb 170H, as measured in competitive radioimmunoassay (RIA) experiments.