A guide to artificial intelligence for cancer researchers

Research output: Contribution to journalReview articleContributedpeer-review



Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to a readily accessible tool for cancer researchers. AI-based tools can boost research productivity in daily workflows, but can also extract hidden information from existing data, thereby enabling new scientific discoveries. Building a basic literacy in these tools is useful for every cancer researcher. Researchers with a traditional biological science focus can use AI-based tools through off-the-shelf software, whereas those who are more computationally inclined can develop their own AI-based software pipelines. In this article, we provide a practical guide for non-computational cancer researchers to understand how AI-based tools can benefit them. We convey general principles of AI for applications in image analysis, natural language processing and drug discovery. In addition, we give examples of how non-computational researchers can get started on the journey to productively use AI in their own work.


Original languageEnglish
Pages (from-to)427-441
Number of pages15
JournalNature Reviews Cancer
Issue number6
Publication statusPublished - Jun 2024

External IDs

PubMed 38755439


Sustainable Development Goals

ASJC Scopus subject areas


  • Artificial Intelligence, Humans, Neoplasms, Drug Discovery/methods, Software, Research Personnel, Natural Language Processing, Image Processing, Computer-Assisted/methods, Biomedical Research/methods