Pieter Cornu

Pieter Cornu is a Researcher at the Research Centre for Digital Medicine at University Hospital Brussels (UZB), affiliated with Vrije Universiteit Brussel (VUB). He works within the Pharmaceutical and Pharmacological Sciences department, focusing on Artificial Intelligence supported Modelling in clinical Sciences. His research profile demonstrates extensive contributions to clinical decision support systems, drug interactions, and medication safety.

Dr. Cornu's primary research interests include Clinical Decision Support Systems, Drug Interactions, Medication Reconciliation, Electronic Prescribing, Anticoagulants, and Drug Hypersensitivity. His work bridges pharmacology, clinical medicine, and health informatics, with a strong emphasis on applying artificial intelligence to improve medication safety and patient outcomes. His research particularly focuses on optimizing clinical decision support for drug-drug interactions, anticoagulant management, and drug allergy documentation systems.

Analysis of Dr. Cornu's recent publications shows a clear trajectory toward integrating artificial intelligence with clinical decision support systems, with increasing emphasis on regulatory frameworks for medical devices, machine learning applications in pharmacovigilance, and practical implementation of digital health tools in hospital settings. His work spans multiple disciplines including pharmacology, cardiology, oncology, and emergency medicine.

• Award 'Bank J. Van Breda & C°' (2009)
• Belgische Genootschap Farmaceutische Wetenschappen (2013)
• Belgisch Genootschap voor Fundamentele en Klinische Fysiologie en Farmacologie (2010)
• DIMENTIA - Data governance award (2020)
• Research grant from the Scientific Fund Willy Gepts (2013)

Dr. Cornu has secured multiple significant research projects including the TumorScope initiative (IRP20 and IRP27) which leverages VUB and UZ Brussels expertise toward a digital health research platform, and several projects focused on developing and evaluating advanced clinical decision support systems. His work demonstrates strong collaboration across institutions and disciplines, with particular emphasis on the practical implementation of digital health solutions in clinical settings.

Dr. Cornu leads the Artificial Intelligence supported Modelling in clinical Sciences research group within the Research Centre for Digital Medicine at UZB. His team focuses on developing and evaluating decision support systems that integrate clinical, pharmaceutical, and AI expertise to improve medication safety and patient outcomes.