Harnessing oncology real-world data with AI

Piers Mahon, Geoff Hall, Andre Dekker, Janne Vehreschild, Giovanni Tonon*

*Corresponding author for this work

Research output: Contribution to journalEditorialAcademicpeer-review

Abstract

Real-world data (RWD) and real-world evidence (RWE) from heterogeneous data sources has the potential to transform oncology research, especially when coupled with artificial intelligence (AI). We discuss the issues involved in primary data capture and post-hoc AI analysis and propose using AI to support the capture of primary RWD.
Original languageEnglish
Pages (from-to)1627–1629
Number of pages3
JournalNature Cancer
Volume4
Issue number12
Early online date1 Dec 2023
DOIs
Publication statusPublished - 15 Dec 2023

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