The prediction accuracies of polygenic scores in humans vary depending on the characteristics of the samples, as well as based on the study design, within a single ancestry group.

A new type of implicit effects on one's actions induced by prediction errors during action observation is discovered.

Using data for 2566 COVID-19 patients from five hospitals, models are developed to predict for each patient hospitalization and critical care needs, based on demographics, comorbidities, medications, and laboratory findings.

Activity in the midbrain responds to unexpected changes in outcome identity (i.e. sensory prediction error) but does not scale with perceptual distance between expected and receipt reward.

Declined coding of sensory information in the brain reflects human vigilance decrements and allows prediction of behavioural errors.

Certain types of 3D chromatin loops are easy to predict from existing or easily obtainable 2D information, which benefits gene expression studies in tissues/cells/organisms without extensive pre-existing 3D information.

A stochastic model of locomotory control in C. elegans based on an extensive new set of tracking data can explain and predict effects of ablations and mutations on behavior.

Midbrain dopamine neurons in rats signal discrepancies between predicted and actual rewards, regardless of whether the rewards are predicted on the basis of experience or inference.

The anticipation of rewards turns out to have its own hedonic value, on top of that of the reward itself; a wide range of behavioral and neurophysiological data suggest that this anticipation is boosted by prediction errors.

Prediction of future input explains diverse neural tuning properties in sensory cortex.