Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance.

New research explores the developmental trajectory of global functional neural networks before and after birth. A study ...

A study using zebrafish reveals how brainstem neural networks guide eye movement, offering a new model that mimics these networks to predict their activity, potentially aiding eye disorder treatments ...

Brain-imaging data collected from fetuses and infants has revealed a rapid surge in functional connectivity between brain ...

Researchers have mapped how different brain cell types align with functional networks in the human cortex, advancing our ...

While it's well known that sleep enhances cognitive performance, the underlying neural mechanisms, particularly those related to nonrapid eye movement (NREM) sleep, remain largely unexplored.

Study: Age-related neural changes underlying long-term recognition of musical sequences ... with some theories suggesting that older adults can compensate for cognitive decline by using different ...

A paper titled "Deep Learning and Transfer Learning for Brain Tumor Detection and Classification" published in Biology ...

Rutgers researchers at the Brain Health Institute (BHI) and Center for Advanced Human Brain Imaging Research (CAHBIR) have ...

Artificial intelligence models are getting better at pinpointing brain tumors – and they’re using a surprising technique ...