MRI-Age

The study tests whether MRI-Age predicts frailty and mortality beyond known risk factors and explores genetic mechanisms.

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MRI-Age uses a convolutional neural network to segment fat and muscle from MRI and a second model to output biological age. The project evaluates whether this measure identifies frail or pre-frail individuals and predicts outcomes better than chronological age, and uses genetic analyses to investigate mechanisms underlying frailty, informing targeted interventions.

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