Sorting out and navigating uncertainty in precision medicine

Uncertainty has been highlighted as a paradoxical consequence of precision medicine (PM). In the life sciences and medicine, uncertainty is often conceptualized as something that can be clearly delimited and overcome by more information and better understanding derived from more research, more data, better tools etc. Building on the observation of uncertainty in PM and exploring it further by differentiating between socio-technical, epistemological and ontological uncertainty, we claim that at least some forms will likely turn out to be non-transient: Uncertainty in PM does not only result from missing or incomplete information, but also from insights into biological complexity and the destabilization of evidence frameworks. We conclude by discussing some implications for a successful implementation of PM in clinical practice by adequately navigating uncertainty.

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Publication Details

Journal
History & Philosophy of the Life Sciences
Published
2026-03-24
DOI
https://doi.org/10.1007/s40656-026-00726-5
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
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article

Sorting out and navigating uncertainty in precision medicine

History & Philosophy of the Life Sciences
Clinical Reasoning and Diagnostic Skills
article

Sorting out and navigating uncertainty in precision medicine

article en

Abstract

Uncertainty has been highlighted as a paradoxical consequence of precision medicine (PM). In the life sciences and medicine, uncertainty is often conceptualized as something that can be clearly delimited and overcome by more information and better understanding derived from more research, more data, better tools etc. Building on the observation of uncertainty in PM and exploring it further by differentiating between socio-technical, epistemological and ontological uncertainty, we claim that at least some forms will likely turn out to be non-transient: Uncertainty in PM does not only result from missing or incomplete information, but also from insights into biological complexity and the destabilization of evidence frameworks. We conclude by discussing some implications for a successful implementation of PM in clinical practice by adequately navigating uncertainty.

History & Philosophy of the Life SciencesVol. 48(2)
Radboud University Nijmegen (NL), University of Johannesburg (ZA), University of Lübeck (DE)
Openalex Percentile: Top 13%
Clinical Reasoning and Diagnostic Skills
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