Researchers have identified sequential diagnostic patterns that may enhance early detection and improve strategies for disease prevention. Researchers at UCLA Health have uncovered four distinct pathways through which Alzheimer’s disease can develop, based on a detailed analysis of electronic health records. This discovery sheds light on the ways the disease unfolds over time, emphasizing progressive […]



Summary

UCLA Health researchers have identified four distinct pathways for Alzheimer’s disease development by analyzing electronic health records. This analysis reveals sequential diagnostic patterns, potentially leading to earlier detection and improved prevention strategies. The research emphasizes the progressive nature of the disease, suggesting a more nuanced understanding of its development over time. These findings offer valuable insights into how Alzheimer’s unfolds, paving the way for more targeted interventions and personalized healthcare approaches.

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