aceDecoding the Bone-Eye Axis: Machine Learning for Age-Related Macular Degeneration Risk Prediction
Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss, yet systemic determinants of its risk remain incompletely understood. Bone mineral density (BMD), a marker of skeletal and biological aging, may reflect shared pathways linking systemic and retinal degeneration. We investigated the association between BMD and AMD using a multilayered framework integrating epidemiological analyses, Mendelian randomization (MR), proteomic and metabolomic profiling, machine learning, and an exper…
Across UK Biobank, NHANES, and a Tianjin hospital cohort, machine learning models flagged lower bone mineral density as a recurrent contributor to age-related macular degeneration risk prediction alongside age.
The same machine learning finding lacks proven incremental clinical utility, relies on cohorts with differing AMD ascertainment and BMD measurement, and animal retinal changes cannot be read as direct AMD validation.
Clinical utility of BMD in prediction models remains unproven, cohort methods were heterogeneous, and animal findings do not directly validate AMD pathology.
Evidence
- Peer-reviewedCyborg and Bionic Systems2026-09-14
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Truvace Impact Record TRV-2026-1112, v1: “Decoding the Bone-Eye Axis: Machine Learning for Age-Related Macular Degeneration Risk Prediction.” Truvace, 2026-09-16. /record/TRV-2026-1112 (accessed at citation time). sha256 33855626689ec29b…
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