#longitudinal-data News & Analysis

3 articles tagged with #longitudinal-data. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 96/10

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Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data

Researchers have developed a personalized digital twin framework for predicting Alzheimer's disease progression using multimodal longitudinal data from the ADNI database. The model employs transition-based and sequence-based approaches to capture clinical changes across sparse, irregular patient visits, achieving higher accuracy with local transition modeling while enabling patient-specific what-if scenario analysis.

AINeutralarXiv – CS AI · Mar 24/106

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Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints

Researchers developed a framework for causal discovery in longitudinal data systems that addresses real-world workflow constraints by incorporating institutional protocols and timeline structures. The method was tested on a large Japanese health screening dataset with over 100,000 individuals, showing improved structural interpretability without requiring domain-specific specifications.

GeneralNeutralarXiv – CS AI · Jun 232/10

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Brownian Motion with a Pulse: A Biostatistician's Guide to Diffusions, Bridges, Functional PCA, and First-Passage Models

This arXiv preprint is a biostatistics tutorial on Brownian motion and related stochastic processes, covering mathematical foundations and applied biomedical use cases. The paper connects rigorous probability theory to practical modeling decisions in longitudinal data, degradation analysis, and clinical monitoring—topics unrelated to cryptocurrency or financial markets.