Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Health Secretary Robert F. Kennedy Jr. on Tuesday refused to commit to supporting the vaccine recommendations of President ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Introduction The Trauma Recovery Center (TRC) is an evidence-based model of care designed to meet the needs of underserved survivors of violent crime through the provision of comprehensive mental ...
Introduction Mindfulness-based interventions are widely used, yet concerns about potential negative effects—particularly those related to mindfulness meditation practice—have gained increasing ...
To date, the main role of AI in scientific research has been to assist with narrow tasks such as discovering chemical structures, analyzing data or predicting protein shapes. But now, the technology ...
Three experts discuss lessons learnt from a large-scale dissection of the reproducibility, analytical robustness and replicability of published results. Jelte M. Wicherts is in the Department of ...
Pandemic and epidemic intelligence integrates surveillance data with contextual knowledge to assess health risks and inform public health decisions. Although investments in surveillance and public ...
Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
Extreme heat events have been demonstrated to increase emergency department (ED) visits, hospitalizations, and mortality, but evidence of their impacts on the associated costs and on outpatient use is ...
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