Abstract
Technological developments in genomics and other -omics originated the idea that precise measurements would lead to better therapeutic strategies. However, precision does not entail accuracy. Scientific accuracy requires a theoretical framework to understand the meaning of measurements, the nature of causal relationships, and potential intrinsic limitations of knowledge. For example, a precise measurement of initial positions in classical mechanics is useless without initial velocities; it is not an accurate measurement of the initial condition. Conceptual and theoretical accuracy is required for precision to lead to the progress of knowledge and rationality in action.
In the search for accuracy in medicine, we first outline our results on a theory of organisms. Biology is distinct from physics and requires a specific epistemology. In particular, we develop the meaning of biological measurements and emphasize that variability and historicity are fundamental notions. However, medicine is not just biology; we articulate the historicity of biological norms that stems from evolution and the idea that patients and groups of patients generate new norms to overcome pathological situations. Patients then play an active role, in line with the philosophy of Georges Canguilhem. We argue that taking this dimension of medicine into account is critical for theoretical accuracy.
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Notes
- 1.
In classical physics, a system has a state that can be measured with arbitrarily high precision, in principle. However, and again in principle, this precision is never perfect, which is why some systems can be at the same time deterministic and unpredictable.
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This chapter builds to a large extent on the collective work of the Organism group. We are also indebted to Bernard Stiegler and Nicolas André for helpful discussions.
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Montévil, M. (2022). Conceptual and Theoretical Specifications forAccuracy in Medicine. In: Beneduce, C., Bertolaso, M. (eds) Personalized Medicine in the Making. Human Perspectives in Health Sciences and Technology, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-74804-3_3
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