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

• Forschungsstelle: INNOSUISSE
• Projektnummer: 114.721 IP-ICT
• Projekttitel Englisch: AIDosE: artificial intelligence methods to estimate and predict dosing errors in interventional clinical research

Schlüsselwörter (Englisch)

ICT, eHealth

Abstract (Englisch)

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.