Photograph-Derived Biological Age (FaceAge) Is Associated with Mortality and Cancer Outcomes; Face Aging Rate Adds Longitudinal Prognostic Information

Recent peer-reviewed work suggests that deep learning models trained on facial photographs can estimate biological age and mortality-associated risk in research settings. These photograph-derived biomarkers are positioned as research-grade decision-support, with deployment requir

Type

evidence-claim

Domain

h10_altered_intercellular_communication

Grade

B

License

CC BY-NC 4.0

card_id

L-005

hallmarks

h10_altered_intercellular_communication

cluster

science_layer

primary_disease_area

longevity_general

evidence_tier

B

evidence_anchor_count

4

intake_round

R23

intake_date

2026-05-26

related_experts

TBD-Bontempi,TBD-Haugg

related_biomarkers

bm_faceage,bm_fahr_facesurvival,bm_face_aging_rate

related_interventions

related_trials

collection_pages

/research/biomarkers,/research/biological-age

LongProof Longevity Dynamic · LIGHT HOPE / x1000.ai · longevity.x1000.ai · 2026 · source

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