Clinical trial risk analysis and prediction by using Graph Neural Networks

Research unit

INNOSUISSE

Project number

41013.1 IP-ICT

Project title

RisKlick: Maximizing Likelihood of Success for Clinical Trials

Texts for this project

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Short description		-	-
Abstract		-	-	-

Category	Text
Short description (German)	RisKlick: Maximizing Likelihood of Success for Clinical Trials
Short description (English)	Clinical trial risk analysis and prediction by using Graph Neural Networks
Abstract (German)	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.