At the core of Bioenhancer Systems is a proprietary AutoML engine designed to generate bespoke predictive models that deliver high performance with minimal biomarker complexity.

This adaptive algorithm accelerates model development across diverse biological domains, enabling fast, interpretable, and scalable outcomes.

Our technology portfolio also includes kinetic models based on ordinary differential equations (ODEs), network-based frameworks, and scoring-driven machine learning models — all validated in real-world applications including cancer prognosis, disease classification, and viral transmission prediction.

In addition, we have developed specialised bioinformatics tools such as MSDanaliser and ROCplot, designed to support model evaluation through intuitive visualisation and performance interpretation.