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#alzheimers-prediction News & Analysis

2 articles tagged with #alzheimers-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBearisharXiv – CS AI · Jun 107/10
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Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction

A large-scale study challenges the widespread assumption that fine-tuning language models with synthetic explanations improves clinical prediction performance. Researchers found that rationale-based supervised fine-tuning consistently degraded Alzheimer's disease prediction accuracy compared to label-only approaches, despite the rationales being medically accurate and human-verified.

AIBullisharXiv – CS AI · Jun 97/10
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Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings

Researchers developed GNOVA, a machine learning framework combining GRU neural networks with Neural ODEs and variational autoencoders to predict Alzheimer's disease progression using only routine clinical data without expensive neuroimaging. The model successfully reconstructed patient cognitive trajectories and forecasted future cognitive states with high accuracy across 1,727 ADNI patients over 10 years, enabling deployment in resource-constrained healthcare settings.