首页|Department of Physics Reports Findings in Chronic Obstructive PulmonaryDisease (Machine learning and magnetic resonance image texture analysis predicts acceler ated lung function decline in exsmokers with and without chronic obstructive .. .)
Department of Physics Reports Findings in Chronic Obstructive PulmonaryDisease (Machine learning and magnetic resonance image texture analysis predicts acceler ated lung function decline in exsmokers with and without chronic obstructive .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Lung Diseases and Cond itions - Chronic Obstructive PulmonaryDisease is the subject of a report. Accor ding to news reporting originating in Toronto, Canada, byNewsRx journalists, re search stated, “Our objective was to train machine-learning algorithms on hyperpolarized magnetic resonance imaging (MRI) datasets to generate models of acceler ated lung functiondecline in participants with and without chronic-obstructive- pulmonary-disease. We hypothesized thathyperpolarized gas MRI ventilation, mach ine-learning, and multivariate modeling could be combined topredict clinically- relevant changes in forced expiratory volume in 1 s ( ) across 3 years.”
TorontoCanadaNorth and Central Ameri caChronic ObstructivePulmonary DiseaseCyborgsEmerging TechnologiesHealt h and MedicineLung Diseases and ConditionsMachine LearningMagnetic Resonan cePulmonary Disease
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