#disease-progression News & Analysis

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

2 articles

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.

AINeutralarXiv – CS AI · Jun 236/10

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Delta-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge

Researchers introduce Delta-Diffusion, a novel AI framework using conditional Poisson Diffusion Bridges to synthesize longitudinal brain PET imaging for tracking amyloid accumulation in neurodegenerative diseases. The method addresses limitations of existing generative models by anchoring predictions to baseline patient scans and incorporating clinical progression patterns, potentially reducing the need for costly repeated imaging procedures.