Nadja Klein
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2026
Bayesian meta-learning for modeling Alzheimer's disease progression
The paper proposes a Bayesian meta-learner to accurately predict the distribution of Alzheimer's disease progression scores for individuals, outperforming existing methods, especially for long-term predictions.
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