The future of precision oncology and artificial intelligence in Belgium: scenarios and policy responses

Tugce Schmitt1, Marie Delnord1, Emilie Cauët1

  • 1Cancer Center, Department of Epidemiology and Public Health, Sciensano , Brussels, Belgium.

Abstract

Insights

Implementing precision medicine and artificial intelligence (AI) in Belgian cancer care requires supportive policies beyond technology and economics. Expert workshops highlight the need for public involvement and multidisciplinary groups for successful integration.

Area of Science:

  • Oncology
  • Genomics
  • Health Policy

Background:

  • Precision medicine offers tailored cancer care through genomic profiling.
  • Artificial Intelligence (AI) can analyze complex data for personalized oncology.
  • Successful implementation requires high-quality data and financial investment.

Purpose of the Study:

  • To explore future scenarios for precision oncology in Belgium.
  • To assess the role of AI in precision cancer care.
  • To identify barriers and facilitators for widespread adoption.

Main Methods:

  • Foresight methodology building on prior quantitative findings.
  • Qualitative data collection through expert workshops.
  • Analysis of four hypothetical scenarios focusing on technological and economic factors.

Main Results:

  • All discussed scenarios necessitate supportive policy measures in Belgium.
  • Policies must extend beyond technological and economic aspects.
  • Involving patient associations, the public, and creating multidisciplinary expert groups are crucial.

Conclusions:

  • This study is the first to use foresight to explore precision oncology futures in Belgium.
  • It scrutinizes feasible implementation approaches for precision oncology.
  • It discusses the integration of AI within this evolving field.

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