Article

Scalable Patient-Level Prediction in a Trusted Research Environment: New Capabilities for the Veterans Precision Oncology Data Commons

2026-06-29

Abstract excerpt

<title>Abstract</title> <p>Background The Veterans Precision Oncology Data Commons (VPODC) is a trusted research environment that enables the broader research community with access to clinical, genomic, and imaging data from the Department of Veterans Affairs (VA) for scientific exploration. We introduce new capabilities within the VPODC to enable researchers to securely train Patient Level Prediction (PLP) mode...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: aa5b522e-f6d7-5c64-92e7-27a05696598f
DOI: 10.21203/rs.3.rs-10021917/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Scalable Patient-Level Prediction in a Trusted Research Environment: New Capabilities for the Veterans Precision Oncology Data CommonsDOI 10.21203/rs.3.rs-10021917/v1Read

A Simple, Privacy-Preserving Multimodal Stacking System for Clinical Progression Prediction in Low-Resource Rare DiseasesSemantic proximity Read

The Oncology Research Information Exchange Network (ORIEN) – Building a real-world collaborative, patient-driven infrastructure for discovery research and precision oncologySemantic proximity Read

CancerStop.dev: An Interactive Web Platform Integrating Prognostic Data, Clinical Trials, and Genomic Resources for Patient EmpowermentSemantic proximity Read

Distributed Biomarker Discovery for Immuno-OncologySemantic proximity Read

Ethical and Secure Evidence Generation from Regionwide Clinical Data through a Collaborative Environment for Advancing Predictive CareSemantic proximity Read

A FAIR/FHIR aligned, reproducible multi omics and epidemiology framework for privacy preserving clinical researchSemantic proximity Read

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic reviewSemantic proximity Read

Privacy-Protecting, Reliable Response Data Discovery Using COVID-19 Patient ObservationsSemantic proximity Read

MatchMiner: An open source platform for cancer precision medicineSemantic proximity Read

Personalized Medical Approach in Gastrointestinal Surgical Oncology: Current Trends and Future PerspectivesSemantic proximity Read

NoisyFlow: Differentially Private Optimal Transport Using Neural Networks for Secure Biomedical Data SharingSemantic proximity Read

A unified benchmark of synthetic data generation for clinical transcriptomic cancer cohortsSemantic proximity Read