Bioinformatics Platform for Modeling Alzheimer’s Progression (MAP-AD Platform)

Alzheimer’s disease varies widely in how it affects individuals and progresses over time, posing challenges in predicting who is at higher risk, understanding disease progression, and recognizing its diverse forms among older adults. To address these challenges, we propose using artificial intelligence techniques and data from multiple long-term studies on aging and dementia. By integrating demographics, clinical information, cognitive scores, brain scans, and genetic data, we aim to develop machine learning models that predict how Alzheimer’s may unfold over periods ranging from six months to ten years. Rigorous testing across diverse populations will ensure the reliability and applicability of these models for community-dwelling individuals. Our ultimate objective is to establish a platform called Bioinformatics Platform for Modeling Alzheimer’s Progression (MAP-AD Platform), where these models can be accessed online and immediately by researchers as well as clinicians. This platform will facilitate collaboration among researchers and enable doctors to provide personalized predictions about Alzheimer’s disease to their patients. Ultimately, this initiative aims to advance precision health in Alzheimer’s research, deepen our understanding of the disease pathology, improve diagnostics and prognostics, and lead to more personalized healthcare approaches for all individuals who are at risk of Alzheimer’s disease.