Publications by authors named "Shoh Nakai"
Article Synopsis
- - The study focuses on using IgG N-glycans from human plasma as biomarkers for screening and diagnosing chronic diseases and cancer, particularly their adaptability to various influences.
- - An ML-based framework was developed to analyze these biomarkers and stratify patients by their risk of colorectal cancer (CRC), utilizing data from the SOCCS cohort to enhance the precision of predictions.
- - The most effective ML pipeline, an XGBoost model, demonstrated promising performance in distinguishing between healthy individuals and CRC patients, suggesting the potential of glycan biomarkers in clinical settings with an emphasis on supporting open-source tools for further research.