State-of-the-art Imaging Biomarkers
QMENTA has amassed the most advanced and widely used imaging biomarkers on its platform to enable experts to measure the efficacy of treatments under trial or research in a single environment.
Early stroke detection and distinction between different types of stroke can be significantly eased with the support of AI-powered algorithms. Such algorithms are also helpful in predicting the prognosis for the patient and the efficacy the treatment.
Diffusion-derived measures such as fractional anisotropy (FA) or mean diffusivity extract information on the tissue properties. FA has been shown to be useful to detect different types of stroke and hemorrhage.(33, 34)
33. Löuvbld, Karl‐Olof, et al. "Ischemic lesion volumes in acute stroke by diffusion‐weighted magnetic resonance imaging correlate with clinical outcome." Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society 42.2 (1997): 164-170.
34. Warach, Steven, et al. "Acute human stroke studied by whole brain echo planar diffusion‐weighted magnetic resonance imaging." Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society 37.2 (1995): 231-241.