Approximately 55 million people worldwide are grappling with dementia, as reported by the World Health Organization, with Alzheimer's disease being the most prevalent form—a degenerative condition without a cure that leads to a decline in brain function. Beyond the physical toll, Alzheimer's inflicts psychological, social, and economic consequences on both those living with the disease and their caregivers. Given the progressive nature of its symptoms, proactive planning for increased support becomes crucial as the disease advances. Addressing this need, researchers at The University of Texas at Arlington have developed an innovative learning-based framework. This framework assists Alzheimer's patients in accurately identifying their position on the disease-development spectrum, facilitating better anticipation of the timing of later stages and aiding in planning for future care. DAJIANG ZHU, AN ASSOCIATE PROFESSOR IN COMPUTER SCIENCE AND ENGINEERING AT UTA Zhu, an associa
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