Scientific Reports (Feb 2024)

Construction and optimization of multi-platform precision pathways for precision medicine

  • Andy Tran,
  • Andy Wang,
  • Jamie Mickaill,
  • Dario Strbenac,
  • Mark Larance,
  • Stephen T. Vernon,
  • Stuart M. Grieve,
  • Gemma A. Figtree,
  • Ellis Patrick,
  • Jean Yee Hwa Yang

DOI
https://doi.org/10.1038/s41598-024-54517-8
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 11

Abstract

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Abstract In the enduring challenge against disease, advancements in medical technology have empowered clinicians with novel diagnostic platforms. Whilst in some cases, a single test may provide a confident diagnosis, often additional tests are required. However, to strike a balance between diagnostic accuracy and cost-effectiveness, one must rigorously construct the clinical pathways. Here, we developed a framework to build multi-platform precision pathways in an automated, unbiased way, recommending the key steps a clinician would take to reach a diagnosis. We achieve this by developing a confidence score, used to simulate a clinical scenario, where at each stage, either a confident diagnosis is made, or another test is performed. Our framework provides a range of tools to interpret, visualize and compare the pathways, improving communication and enabling their evaluation on accuracy and cost, specific to different contexts. This framework will guide the development of novel diagnostic pathways for different diseases, accelerating the implementation of precision medicine into clinical practice.