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New Laser Headset Accurately Assesses Stroke Risk Noninvasively

Developed by Caltech and USC, the device measures brain blood flow changes during a breath-holding test to predict stroke risk.

  • The laser-based headset uses speckle contrast optical spectroscopy (SCOS) to monitor blood flow and volume changes in the brain.
  • In a study of 50 participants, the device distinguished between high and low stroke risk groups based on blood flow responses to holding their breath.
  • The technology offers a portable, affordable, and non-invasive method for real-time stroke risk assessment.
  • Researchers plan to enhance the device with machine learning and conduct long-term clinical trials to validate its effectiveness.
  • This innovation could make stroke risk assessment as routine as cardiac stress tests, potentially revolutionizing preventive care.
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