University of Virginia researchers have presented a pioneering study utilizing diffusion MRI to reveal structural brain differences in autism, offering insights into neuronal conductivity and dynamic networks.
A new AI tool named Tyche addresses the ambiguity in medical image segmentation by providing multiple plausible segmentations without the need for retraining, potentially advancing diagnostic accuracy and biomedical research.
Recent research at a major medical center’s emergency department shows a sharp increase in CT angiography usage for patients with headache or dizziness over five years, alongside a decrease in positive findings on these exams.
Recent Alzheimer’s research shows promise in targeting early amyloid beta (A-beta) aggregation, with a breakthrough therapy and a collaborative effort using nanotechnology and low-energy X-rays offering new avenues for early intervention.
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The thorax plays a vital role in assessing respiratory health, with traditional evaluations relying on subjective methods, yet recent ultrasound technology showcased potential in detecting vocalization-induced vibrations, offering promise for improved diagnoses and understanding of lung pathologies.
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Researchers have developed a pH-responsive sticker for ultrasound monitoring, enabling early detection of anastomotic leaks post-surgery, with potential to revolutionize patient monitoring.
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Researchers have developed a new method for triggering and imaging seizures in epilepsy patients, offering physicians the ability to collect real-time data to tailor epilepsy surgery.
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A link between abnormal blood levels of amyloid—a protein associated with Alzheimer’s disease—and subtle changes in brain microstructures on a type of MRI could lead to a new way to detect Alzheimer’s earlier in people with no clinical signs.
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