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Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application of deep learning and artificial intelligence ...
Abstract: In the clinic, brain tumor detection and semantic segmentation are critical tasks in medical image analysis, particularly in magnetic resonance imaging (MRI), which assists clinicians in ...
A persistent, file-based memory layer for coding agents — give Claude Code, Codex & others a project brain (durable decisions, requirements, constraints) via a zero-dependency CLI. A custom Model ...
There are clinical treatments for neurodegenerative diseases that involve implanting electrodes into the brain, such as deep-brain stimulation to ease the tremor and muscle tension of Parkinson’s ...
Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defined clinical practice by delineating critical anatomy for pre-operative planning, guiding real-time ...
The following is a summary of a story by Adriana Difranco on MADE FOR THIS. Chemotherapy drugs for brain tumors typically haven’t been able to get past the blood-brain barrier, says Duke neurosurgeon ...
Abstract: Brain tumors constitute the most frequently diagnosed malignant tumors in people of all ages. Accurate classification of various brain tumor types is crucial for timely diagnosis and ...
A major clinical trial involving 50 hospital intensive care units (ICUs) throughout New Zealand and Australia will test if ...
The idea of controlling machines with one’s mind used to be a staple of a certain kind of science fiction. Now it’s quickly becoming reality. Implantable brain-computer interfaces, or BCIs, have ...
Professor Richard Scolyer, renowned pathologist and joint Australian of the Year (2024), has died at the age of 59. Scolyer captured the attention of Australians and the world when he volunteered to ...
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