AI-based clinical decision support for early detection and validation in women’s health

We are seeking partners to form a consortium for the clinical validation and deployment of an AI-based clinical decision support system in women’s health. The solution leverages patient-generated data to support early detection and triage, with the goal of improving patient stratification and enabling earlier intervention.

The technology has been evaluated in real-world settings and is now progressing toward prospective, multi-site validation. The project will focus on demonstrating performance in clinical environments and exploring integration into existing healthcare workflows.

We are particularly interested in collaborating with clinical institutions for patient recruitment and validation, academic partners for study design and statistical analysis, and organisations working with complementary diagnostic approaches.

The project aligns with PRECISEU priorities in health data-driven solutions and personalised medicine, with a strong emphasis on real-world validation, cross-regional collaboration, and scalable deployment.