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Privacy-by-design clinical trial pre-screening combines event-driven patient selection, data minimisation, and pseudonymisation to identify eligible patients accurately while protecting their privacy and reducing unnecessary exposure of sensitive health data.

AI-driven pre-screening technology has the potential to streamline patient recruitment for clinical trials, but only if it adapts to how clinical teams actually work. Expecting teams to change their workflow for the technology is rarely effective. This principle became clear during our recent pilot with the cardiology department at AZ Klina. Understanding the clinical context Clinical workflows for identifying eligible patients can vary widely between departments. In some c

Many patients struggle to find ongoing clinical trials where new medicines are being tested. As a result, they miss out on potentially...

Hoe kan technologie patiënten helpen de juiste klinische studies te vinden? En hoe draagt AI bij aan een menselijkere gezondheidszorg?...

Monsana has secured HDA funding to advance Monsana Search, a Generative AI tool that matches patients to the most suitable clinical trials by analyzing their medical records against national and international databases.

Exploring the limitations of query-based tools and how GenAI overcomes them to streamline clinical trial matching.

Outcomes of our collaboration with Ziekenhuis aan de Stroom (ZAS) showcasing Monsana’s performance in Oncology

Clinical trial efficiency in action: monsana’s genAI cuts pre-screening time by 85% at AZ Delta

AI Agents for clinical trial interpretation.

Why we need the nuance of unstructured data in medical language.

We believe in the power of AI, but we trust in humans

The critical need for innovation in Belgian biopharmaceutical sector.