Peer Reviewed Articles Archives

BMJ: Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

DecodeHealth2026-03-19T19:44:20-05:00

First publication applying Decode's platform to GI/Crohn's disease, extending the validated methodology from MS into a new therapeutic area using administrative claims data.

BMJ: Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claimsDecodeHealth2026-03-19T19:44:20-05:00

Communications Medicine: Multiple sclerosis risk stratification and healthcare cost prediction using machine learning

DecodeHealth2026-03-19T19:45:46-05:00

Demonstrated that ML models predicted 90% of total four-month spend for top-cost MS patients vs. 42% with conventional methods. Open-access publication.

Communications Medicine: Multiple sclerosis risk stratification and healthcare cost prediction using machine learningDecodeHealth2026-03-19T19:45:46-05:00

The Journal of Molecular Diagnostics: Development of an End-to-End Total RNA Sequencing Quality Control Framework for Blood-Based Biomarker Discovery

DecodeHealth2026-03-19T19:47:07-05:00

Establishes the QC methodology that underpins Decode's RNA biomarker discovery pipeline. Companion to the Agilent Technologies webinar.

The Journal of Molecular Diagnostics: Development of an End-to-End Total RNA Sequencing Quality Control Framework for Blood-Based Biomarker DiscoveryDecodeHealth2026-03-19T19:47:07-05:00

The Journal of Molecular Diagnostics: Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates

DecodeHealth2026-03-20T14:38:45-05:00

Quest Diagnostics and NIH/NIAID-funded study demonstrating RNA-seq-based ML classification of NMO vs. MS, with identification of actionable therapeutic targets.

The Journal of Molecular Diagnostics: Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic CandidatesDecodeHealth2026-03-20T14:38:45-05:00

Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee

DecodeHealth2026-03-19T19:56:59-05:00

Built on the SDOH modeling framework to incorporate vaccination data, showing >90% prediction accuracy across 13 time points. Tracked how vaccination rates reshaped the relative importance of demographic, socioeconomic, and environmental risk factors over time.

Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in TennesseeDecodeHealth2026-03-19T19:56:59-05:00

Predictive modeling of COVID-19 case growth highlights evolving racial and ethnic risk factors in Tennessee and Georgia

DecodeHealth2026-03-19T19:57:10-05:00

ML models achieving >90% accuracy for predicting COVID-19 case growth using social determinants of health data. Demonstrated how racial and ethnic risk factors shifted dynamically over time across counties.

Predictive modeling of COVID-19 case growth highlights evolving racial and ethnic risk factors in Tennessee and GeorgiaDecodeHealth2026-03-19T19:57:10-05:00

Illuminating an Invisible Epidemic: A Systematic Review of the Clinical and Economic Benefits of Early Diagnosis and Treatment in Inflammatory Disease and Related Syndromes

DecodeHealth2026-03-19T19:57:23-05:00

Comprehensive review of clinical and economic burden across MS, IBD, rheumatoid arthritis, and related conditions - $90B+ in annual U.S. healthcare costs. Identified potential for >20% cost savings through earlier diagnosis and treatment.

Illuminating an Invisible Epidemic: A Systematic Review of the Clinical and Economic Benefits of Early Diagnosis and Treatment in Inflammatory Disease and Related SyndromesDecodeHealth2026-03-19T19:57:23-05:00

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