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Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)

Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...

Published: 2/14/2025 | Inventor(s): Timothy Chang

Keywords(s): Alzheimers disease, artificial intelligence/machine learning models, electronic health records (EHR), medical bias reduction, Neurodegeneration Alzheimer's Disease Predictive Testing, neurological disorders, Neurology, personalized medicine

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Diagnostic Markers > Aging, Therapeutics > CNS and Neurology