Polygenic risk scores (PRSs) are used to predict disease risk from genetic variants. They usually incorporate the influence of hundreds to millions of genetic variants. However, their adoption for clinical decision making is currently low, partly because historical genome-wide association studies (GWASs) have overwhelmingly evaluated European cohorts, resulting in severe accuracy drops when applied to…
Researchers assess the accuracy of a new tool to help identify people at high risk of hip fracture using routinely collected healthcare and population data.
A researcher at Turkey’s Selçuk University has conducted a comparative analysis of multiple machine learning algorithms for predicting plane-of-array (PoA) irradiance on bifacial PV panels. The researcher used identical input conditions to predict PoA irradiance on both the front and rear sides of the panels.
