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

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 proposed model of optimal inference under cognitive costs accounts for human sequential effects, including subtle patterns of attractive and repulsive influence of past observations, in a binary prediction task across a wide range of stimulus conditions.

The calibration of decision thresholds will provide evidence for the optimal use of in silico predictors for the standardised classification of globin gene variants under the American College of Medical Genetics and Genomics/Association for Molecular Pathology framework.

A computational method for predicting evolutionary pathways to antimicrobial resistance, accounting for how epistatic interactions determine trajectories, is described.

Key variables required for pain perception in the context of a predictive coding model are correlated with distinct oscillatory profiles.

Diffusion-MRI-based cerebral cortical microstructure encoding regionally differential dendritic arborization and synaptic formation at birth robustly predicts future 2-year-old cognitive and language outcomes with regionally heterogeneous contribution that exhibits functional selectivity.

The success of angiotensin-converting enzyme 2 (ACE2)-based predictions of severe acute respiratory syndrome-associated virus 2 (SARS-CoV-2) host range stems from phylogenetic correlation, allowing development of scalable models which predict susceptibility to SARS-CoV-2 and other sarbecoviruses without requiring additional ACE2 sequencing.

A smartphone app incorporating clinical prediction models using patient-specific and location-specific data sources in a modular approach could predict viral-only etiology of diarrhea in children under five in Bangladesh and Mali.

Computational modeling, and empirical behavioral and EEG results show that learning relies not only on comparing current events to past experience, but integrates response-based outcome predictions and confidence.