A repository of knowledge: R tutorials, quality management case studies, statistical methodology, and practical guides for clinical laboratory professionals.
Step-by-step tutorials on applying R programming to common clinical laboratory challenges — from data import to publication-ready plots.
Deep-dives into Westgard rules, sigma metrics, and QC planning strategies with reproducible R code.
A multi-part series on computing, validating and transferring reference intervals using the RI estimation approaches recommended by IFCC.
Practical machine learning applications in diagnostic medicine — clustering, classification, anomaly detection and more.