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

• Unité de recherche: INNOSUISSE
• Numéro de projet: 114.721 IP-ICT
• Titre du projet anglais: AIDosE: artificial intelligence methods to estimate and predict dosing errors in interventional clinical research

Mots-clé (Anglais)

ICT, eHealth

Résumé des résultats (Abstract) (Anglais)

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.