AIDosE: artificial intelligence methods to estimate and predict dosing errors in interventional clinical research

Research unit

INNOSUISSE

Project number

114.721 IP-ICT

Project title

AIDosE: artificial intelligence methods to estimate and predict dosing errors in interventional clinical research

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	ICT, eHealth
Abstract (English)	Dosing error has a significant negative impact on Pharma R&D, increasing costs and delaying the launch of new drugs. We will leverage multimodal dosing-related information to identify and predict dosing errors for investigational drugs using machine learning.