Research Compliance

TRACER, a time-to-event EHR foundation model for disease detection across health systems

Oct 29, 2026 Source ↗

Key Insights

Foundation models trained on longitudinal electronic health records (EHRs) can predict clinical diagnoses years in the future, making them a potential tool for disease screening.
We developed TRACER (.

Cite this synthesis DOI: 10.48550/arXiv.2610.40536 ↗

Show formatted citation

@misc{ acaciacompliance-research-tracer-a-time-to-event-ehr-foundation-model-for-disease-dete,
  title = { TRACER, a time-to-event EHR foundation model for disease detection across health systems },
  author = { Leszek },
  year = { 2026 },
  doi = { 10.48550/arXiv.2610.40536 },
  url = { http://arxiv.org/abs/2610.40536v1 },
  note = {Summarized and classified by AcaciaFund}
}

TY  - GEN
TI  - TRACER, a time-to-event EHR foundation model for disease detection across health systems
AU  - Leszek
PY  - 2026
DO  - 10.48550/arXiv.2610.40536
UR  - http://arxiv.org/abs/2610.40536v1
ER  -

Edit on GitHub — registry.json

Overview

Foundation models trained on longitudinal electronic health records (EHRs) can predict clinical diagnoses years in the future, making them a potential tool for disease screening. We developed TRACER (

Key Topics

Transaction Monitoring: A theme covered by this item within the AML and compliance context.

Why It Matters

This item adds to the AML and compliance knowledge base. Practitioners can use it to stay current on TRACER, a time-to-event EHR foundation model for disease detection across health systems, but should validate its claims against primary sources and more recent work before relying on it in production decisions.

Key Takeaways

Understand how TRACER, a time-to-event EHR foundation model for disease detection across health systems relates to AML and compliance workflows and controls.
Assess evidence quality and freshness before acting on the findings.
Use the tagged topics to connect this item to related content in the library.

Article Metadata

Evergreen Synthesized

transaction-monitoring aml

Transaction Monitoring

SQI 0.750