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In clinical validation, this test achieved 91.7% concordance with PET-confirmed amyloid positivity and 97.3% concordance with PET negativity, with only ~20% of results deemed indeterminate

EOS R3, EOS R7, EOS R10 and beyond The EOS R3 used deep learning to support: - Motorsports vehicle detection - Human torso detection - Head detection of winter sports athletes wearing goggles and helmets - Enhanced eye detection The EOS R3, and the EOS R7 and EOS R10 that followed it, also used deep learning technology to improve the accuracy of their auto white balance

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[8] [9] This means that higher oral doses may be required in certain circumstances to achieve therapeutic effects