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University of Southampton
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Transition-based modeling reveals a more data-efficient approach to predicting Alzheimer's disease progression, outperforming traditional sequence models in accuracy.
Generate plausible follow-up spine DXA images by intervening on age, opening the door to simulating long-term skeletal changes.
