A multi-omic approach integrating clinical, imaging, and molecular data can identify individuals at increased risk for chronic respiratory disease to enable targeted prevention.
Drawing inspiration from advances in cardiovascular disease prevention, the respiratory field must adopt a holistic framework that considers the likely shared biologic mechanisms underpinning chronic lung diseases. Effective disease prevention depends on a multi-omic approach that integrates clinical, physiologic, imaging, and molecular data to identify individuals at increased risk for chronic respiratory disease. Prospective evaluation of these at-risk individuals can be utilized to evaluate the impact of targeted preventative strategies.
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Kavitha Selvan
Joseph S. Deters
R. Kalhan
Northwestern University
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Selvan et al. (Thu,) reported a other. A multi-omic approach integrating clinical, imaging, and molecular data can identify individuals at increased risk for chronic respiratory disease to enable targeted prevention.
www.synapsesocial.com/papers/69a3d8caec16d51705d2ff69 — DOI: https://doi.org/10.1080/17476348.2026.2637202