Cognitive Decline

Cognitive decline, encompassing age-related changes and neurodegenerative diseases like Alzheimer's, is a major research focus aimed at improving early detection and intervention. Current research heavily utilizes machine learning, employing deep neural networks (including convolutional and recurrent architectures), survival analysis models, and large language models coupled with natural language processing to analyze diverse data sources such as neuroimaging, speech patterns, and wearable sensor data. These efforts aim to identify reliable biomarkers and develop accurate predictive models for cognitive decline, ultimately leading to improved diagnostic tools and personalized interventions.