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ARXIV:2603.25283 · HEALTH AI · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE
ARXIV:2603.25283HEALTH AISUBMITTED 02 APR · 02:30 UTCFRESHNESS STALEAdam Gabet · Sarah Kohn · Guy Lutsker · Shira Gelman · Anastasia Godneva · Gil Sasson · +8 at arXiv
A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign.
Opportunity summary
Pain A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign.
Evidence 0 refs | 0 sources | 17% coverage
Blocker Evidence unverified
A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign. We developed a gait foundation model for 3D skeletal motion from 3,414…
Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathologies rather than a systemic biomarker. We developed a gait foundation model for 3D skeletal motion…
ScienceToStartup currently rates this 7.0/10 on the public viability pass. These findings establish gait as an independent multi-system biosignal, motivating translation to consumer-grade video and its integration as a scalable, passive vital sign.
Health AI moved forward this cycle; last verified April 2026. Public score 7.0/10.
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A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign.
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Paper Pack
10.48550/arXiv.2603.25283A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign.
Abstract
Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathologies rather than a systemic biomarker. We developed a gait foundation model for 3D skeletal motion from 3,414 deeply phenotyped adults, recorded via a depth camera during five motor tasks. Learned embeddings outperformed engineered features, predicting age (Pearson r = 0.69), BMI (r = 0.90), and visceral adipose tissue area (r = 0.82). Embeddings significantly predicted 1,980 of 3,210 phenotypic targets; after adjustment for age, BMI, VAT, and height, gait provided independent gains in all 18 body systems in males and 17 of 18 in females, and improved prediction of clinical diagnoses and medication use. Anatomical ablation revealed that legs dominated metabolic and frailty predictions while torso encoded sleep and lifestyle phenotypes. These findings establish gait as an independent multi-system biosignal, motivating translation to consumer-grade video and its integration as a scalable, passive vital sign.
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Extraction status
Derived fallbackRead summaries are estimated from adjacent metadata, not verified extraction rows.
Proof status
unverified0 refs; 0 sources; 17% coverage.
What was readable
Derived fallback: Estimated from adjacent evidence; not verified from source.
Viability
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Dimensions overall score 7.0
PROBLEM
A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign. We developed a gait foundation model for 3D skeletal motion from 3,414 deeply phenotyped adults, recorded via a depth camera during five...
METHOD
Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathologies rather than a systemic biomarker. We developed a gait foundation model for 3D skeletal motion from 3,414 deeply phenotyped adults, recorded via a depth camera du...
RESULT
ScienceToStartup currently rates this 7.0/10 on the public viability pass. These findings establish gait as an independent multi-system biosignal, motivating translation to consumer-grade video and its integration as a scalable, passive vital sign.
WHY NOW
Health AI moved forward this cycle; last verified April 2026. Public score 7.0/10.
Abstract-backed public claims while anchored extraction refreshes.
A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign. We developed a gait foundation model for 3D skeletal motion from 3,414 deeply phenotyped adults, recorded via a depth camera during five motor tasks.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathologies rather than a systemic biomarker. We developed a gait foundation model for 3D skeletal motion from 3,414 deeply phenotyped adults, recorded via a depth camera during five motor tasks.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
ScienceToStartup currently rates this 7.0/10 on the public viability pass. These findings establish gait as an independent multi-system biosignal, motivating translation to consumer-grade video and its integration as a scalable, passive vital sign.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
Health AI moved forward this cycle; last verified April 2026. Public score 7.0/10.
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
partial
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A foundation model for 3D skeletal motion predicts multi-system health phenotypes, enabling gait to be used as a scalable, passive vital sign.
Segment
Health AI
Adoption evidence
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Commercial read
7.0/10 public viability
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CITED BY
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status
missing
reason
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proof status
unverified
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confidence low
next verification path
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stale
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Build readiness
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passport absent
stale
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Artifact maturity
GitHub and Hugging Face maturity payloads
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stale
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Technical feasibility
partial
Current read
Runnable path is not fully verified.
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Run minimal reproduction from the Build Passport prototype path.
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missing
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Evidence
0 references, 0 sources, 17% evidence coverage.
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Integration burden
missing
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Write integration checklist from prototype path and target workflow.
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Classify regulatory flags before commercialization planning.
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ARTIFACTS
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DEFENSIBILITY
Defensibility and confidence evidence pending.
WATCHTOWER
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