Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.

Summary

Researchers developed a data-sharing platform that uses machine learning and genomic sequencing to predict survival outcomes for patients with lung cancer. This infrastructure enables the broader scientific community to collaborate on predictive models that may improve personalized treatment strategies.

Key result

Machine learning models using target genome sequencing data from the Veterans Affairs Precision Oncology Program successfully predicted lung cancer survival outcomes.

Abstract

We completed a pilot study to guide the development of the VA Research Precision Oncology Data Commons infrastructure as a collaboration platform with the greater research community. Our results using a small subset of patients from the VA's Precision Oncology Program demonstrate the feasibility of our data sharing platform to build predictive models for lung cancer survival using machine learning, as well as highlight the potential of target genome sequencing data.