Cognitive Rustproof — an open-source IRT-based cognitive baseline test that measures AI's impact on your thinking abilities
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Updated
Jul 28, 2026 - TypeScript
Cognitive Rustproof — an open-source IRT-based cognitive baseline test that measures AI's impact on your thinking abilities
A lightweight clinical large language model (LLM) for cognitive decline detection from clinical notes. The project includes synthetic EHR data for rapid validation and experimentation. The paper was published in Journal of Biomedical Informatics: CD-Tron: Leveraging Large Clinical Language Models for Early Detection of Cognitive Decline from EHR
CogniGuard-ML: A Leakage-Resistant Explainable Automated Machine Learning Framework for Early Cognitive Function Decline Risk Prediction Using Population Health Data
Systematic review of modifiable risk factors for Alzheimer's disease in Latin American populations (2000-2024). OSF: https://osf.io/fkdv4/
Systematic review of public policies on Alzheimer's and dementia in Latin America (2000-2024): national strategies, plans and legislation. OSF: https://osf.io/g4hev/
Systematic review of evidence-based interventions for Alzheimer's disease prevention in Latin America (2000-2024). OSF: https://osf.io/ejxfc/
Analysis code for the HMACS plasma protein network and its fixed computational evaluation in ADNI cerebrospinal fluid proteomics.
Code used in the paper "A Blood-Test Based Predictive Model for the Cognitive Decline in Probable Alzheimer’s Disease Patients"
Systematic review of Alzheimer's disease epidemiology in Latin America (2000-2024): prevalence, incidence and burden. OSF: https://osf.io/sjmv2/
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