Explainable AI in Clinical Decision Support
How XAI techniques are reshaping clinician trust — and why transparency is the next frontier for medical AI adoption.
Read more arrow_forwardWe build compliant, explainable AI that empowers clinicians, protects patients, and transforms healthcare delivery.
Our Capabilities
Is your health institution data mostly unstructured — text, images, biosignals — but filled with valuable insights? Bilobe leverages modern AI to unlock what's hidden in clinical data.
Our AI solutions are built with trustworthiness at their core — compliant with EU MDR, GDPR, and the AI Act, with data protection and explainability at every layer.
Clinical evaluation practices and human-AI collaboration designed to keep practitioners in control — achieving the best of both human expertise and AI synergy.
About Us
Born in Pavia, Italy from the 40-year tradition of the Biomedical Informatics Lab "Mario Stefanelli", Bilobe is the melting pot of cutting-edge academic research and real-world implementation in healthcare.
Our mission is to support healthcare practitioners, enhance patient outcomes, and improve healthcare organizations with innovative technology — turning complex, unstructured data into actionable insights through transparent and trustworthy solutions.
By combining advanced algorithms with deep medical domain expertise, we make healthcare more efficient, accessible, and personalized.
Research Partners







Our Team
Bilobe.
Insights
How XAI techniques are reshaping clinician trust — and why transparency is the next frontier for medical AI adoption.
Read more arrow_forwardA practical guide to navigating the new EU AI Act requirements for high-risk medical AI systems — from risk classification to conformity assessment.
Read more arrow_forwardOur collaboration with the University of Florida on a large language model trained across HIV, Hepatitis, and Coronavirus genomes to predict dangerous variants.
Read more arrow_forwardContact Us
Whether you're looking to integrate AI into your clinical workflow, explore a research collaboration, or simply learn more about what we do — we'd love to hear from you.