Latest AI and machine learning research in practice management for healthcare professionals.
Visual behavior requires coordinated activity across hierarchically organized brain circuits. Understanding this complexity demands datasets that are both large-scale (sampling many areas) and dense (recording many neurons in each area). Here we present a database of spiking activity across the mouse visual system—including thalamus, cortex, and midbrain—while mice perform an image change detectio...
Understanding how the cortex encodes sensory input in a biologically efficient and computationally robust manner remains a central question in neuroscience. Predictive coding offers a compelling theoretical framework for such cortical processing, but existing models lack the biological detail to fully explain the function of the cortical microcircuits. This study introduces a spiking neural networ...
Understanding how genetically-defined cell populations encode visual information remains a fundamental challenge in systems neuroscience. While extens...
Neural transplantation holds the potential to repair damaged neural circuits in neurological diseases. However, it remains unknown how the grafted neu...
Brain networks are high-dimensional and interacting complex systems that exhibit substantial structural heterogeneity as well as temporal variability....
Integrating linguistic and visual information is a core function of human cognition, yet how information from these two modalities interacts in the br...
The cerebellum, long regarded as a motor structure, is increasingly recognized for its role in higher-order cognitive and socio-emotional functions. I...
The activity of visual cortical neurons forms a population code representing image stimuli. There is, however, a discrepancy between our understanding...
Regulatory DNA controls when and where genes are expressed, making it a key driver of phenotypic evolution. Yet detecting selection in non-coding regi...
Rapid developments are occurring in artificial intelligence (AI) and machine learning (ML) applied to neuroimaging. To date, advances in this space ha...
Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world evaluations at scale remain challenging. In this study...
Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain, with a mortality rate of 40-50% within a few day...
Several conditions exist that do not have their own unique diagnosis code in widely-used clinical terminologies, making them difficult to track and st...
Accurate psychiatric diagnosis and assessment are crucial for effective treatment. However, while current data-driven approaches emphasize diagnostic ...
Decision-making in healthcare relies on the ability to understand patients’ past and current health state to predict, and ultimately change, their fut...
The 24h behaviour profile, including physical activity, sedentary time, and sleep, is disrupted following a cancer diagnosis and contributes to cancer...
The increasing availability of whole-genome sequencing (WGS) has begun to elucidate the contribution of rare variants (RVs), both coding and non-codin...
Brazil has the highest stroke rates in Latin America. The aim of this study was to investigate the profile of deaths mentioning stroke in Brazil betwe...
Federal programs to mitigate hospital readmission of patients with heart failure (HF) monetarily encourage hospitals through the use of penalties. The...
Anxiety, depression, and other mental health conditions are affecting millions of people worldwide each year. However, limited access to mental health...