<ul><li>Alzheimer’s Disease is a devastating neurodegenerative disorder characterized by memory loss and cognitive decline, with early diagnosis remaining a challenge.</li><li>Genome-wide data like SNPs and Microarray expression profiles are emerging as potential biomarkers for more accurate Alzheimer’s diagnosis.</li><li>An interdisciplinary team used machine learning to build a diagnostic model for Alzheimer’s by integrating genomic data and leveraging Protein-Protein Interaction Networks.</li><li>Their web-based platform showcased promising results, winning the first prize in a national competition and highlighting the potential of AI-driven solutions in healthcare.</li></ul>

Building an AI-powered Diagnostic Tool for Alzheimer’s Disease: Our Journey from Challenge to…

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