Algorithmic biases that favor majority populations pose a key challenge to the application of
machine learning for precision medicine. Here, we assessed such bias in prediction models …

Cognitive performance can be predicted from an individual's functional brain connectivity
with modest accuracy using machine learning approaches. As yet, however, predictive …

Population-level modeling can define quantitative measures of individual aging by applying
machine learning to large volumes of brain images. These measures of brain age, obtained …

Prognostic prediction of soil moisture is a critical step in various fields such as geotechnical
engineering, agriculture, geology, hydrology, and climatology. For example, in agricultural …

Research into the brain basis of psychopathology is challenging due to the heterogeneity of
psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis …

Central to modern neuroscientific theories of human intelligence is the notion that general
intelligence depends on a primary brain region or network, engaging spatially localized …

Trust propensity (TP) relies more on social than economic rationality to transform the
perceived probability of betrayal into positive reciprocity expectations in older adults with …

Background Biological aging is revealed by physical measures, eg, DNA probes or brain
scans. In contrast, individual differences in mental function are explained by psychological …

An increasing number of studies have investigated the relationships between inter-
individual variability in brain regions' connectivity and behavioral phenotypes, making use of …

Cognitive neuroscience continues to advance our understanding of the neural foundations
of human intelligence, with significant progress elucidating the role of the frontoparietal …