RisKlick: Maximizing Likelihood of Success for Clinical Trials

• Unité de recherche: INNOSUISSE
• Numéro de projet: 41013.1 IP-ICT
• Titre du projet anglais: RisKlick: Maximizing Likelihood of Success for Clinical Trials

Description succincte (Allemand)

RisKlick: Maximizing Likelihood of Success for Clinical Trials

Description succincte (Anglais)

Clinical trial risk analysis and prediction by using Graph Neural Networks

Résumé des résultats (Abstract) (Allemand)

To improve the success rate of clinical trials, the proposed research topic is to automate the understanding and extraction of risk components from semi-structured, enriched clinical protocols. Based on uncovered graph structures of protocol models, the success of clinical trials is predicted.