Article

Characterize Disease Progression Subphenotypes in Real World Populations with Overweight and Obesity using a Graph-based Neural Network Framework

2025-11-13

Abstract excerpt

<h4>Background</h4> Obesity is a chronic, heterogeneous condition, with risks, trajectories, and treatment responses that vary widely among individuals. However, research characterizing the heterogeneity of long-term obesity progression—and its impact on the development of obesity-associated outcomes and treatment responses—is scarce. <h4>Objectives</h4> We aimed to identify progression subphenotypes in a real-w...

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Literature Corpus work: 5a89d3fe-772c-5810-b440-690278b38e87
DOI: 10.1101/2025.11.10.25339913

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Characterize Disease Progression Subphenotypes in Real World Populations with Overweight and Obesity using a Graph-based Neural Network FrameworkDOI 10.1101/2025.11.10.25339913Read

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