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Machine learning (ML) techniques are increasingly used in brain age prediction to assess brain health and detect neurological and psychiatric disorders. The availability of large, publicly accessible ...
To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...
A novel MRI-based ‘aging’ clock may offer a simple way to identify patients whose biological age is outpacing their ...
Plasma proteomics reveals that the biological ages of key organs, especially the brain and immune system, strongly predict ...
Researchers have uncovered a surprising connection between a cancer-related signaling pathway and the blood-brain and blood-retina barriers.
A University of Minnesota Medical School-led research team has discovered that a cancer signaling pathway has previously ...
Scientists from Duke, Harvard, and the University of Otago have unveiled a game-changing tool called DunedinPACNI. It uses a single AI brain scan to reveal how fast a person is biologically aging.
Brain tumors present significant challenges for medical imaging and diagnostics. Brain tumors from Magnetic Resonance Imaging (MRI) pictures need to be precisely segregated for treatment planning and ...
Magnetic resonance imaging (MRI) findings such as inflammatory-type lesions and myelopathies are significantly associated with attribution of neuropsychiatric (NP) events to systemic lupus ...
Visual auras, like those that occur in migraines, may be signs of small injuries to the brain’s visual cortex, according to a clinical trial at UC San Francisco that tracked the appearance of these ...
Quantitative MRI reveals the elderly ischemic brain is susceptible to increased early blood-brain barrier permeability following tissue plasminogen activator related to claudin 5 and occludin ...
When you're mentally exhausted, your brain might be doing more behind the scenes than you think. In a new study using functional MRI, researchers uncovered two key brain regions that activate when ...