A new AI tool, BIOPREVENT, predicts serious post-transplant complications months before symptoms appear using blood biomarkers and clinical data.
Key Details
- 1BIOPREVENT was developed by MUSC Hollings Cancer Center and validated with data from 1,310 transplant recipients.
- 2The tool outperformed standard clinical models in predicting chronic graft-versus-host disease (GVHD) and transplant-related death.
- 3BIOPREVENT uses seven immune protein biomarkers and nine clinical factors to assess risk.
- 4Predictions were validated in an independent patient cohort, showing reliable risk stratification up to 18 months post-transplant.
- 5A free, web-based application is available for clinicians to use the tool for research and risk assessment.
Why It Matters
Early identification of high-risk transplant patients can enable closer monitoring and potential intervention before severe complications arise, representing a significant advance in personalized medicine using AI and biomarker data. This AI tool sets a precedent for broader use of machine learning models to improve outcomes in complex medical scenarios requiring longitudinal risk prediction.
Source
EurekAlert
Related News
•EurekAlert
AI Pathology Tool SÉMIL Improves Stage II Bowel Cancer Risk Assessment
A La Trobe University-developed AI tool accurately predicts relapse risk in stage II bowel cancer using digital pathology images and descriptions.
•EurekAlert
AI-Guided Handheld Cardiac Ultrasound Reduces Referrals and Costs in Spain
AI-guided handheld cardiac ultrasound enables primary care physicians to detect heart failure, reducing specialist referrals and saving costs.
•EurekAlert
AI Tool Predicts Which Rectal Cancer Patients Benefit from Intensive Therapy
UCL researchers developed an AI that analyzes biopsy slides to identify rectal cancer patients who benefit from adding irinotecan to standard chemoradiotherapy.