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Data-driven approaches to reveal the pathobiological heterogeneity in patients with traumatic brain injury

Åkerlund, Cecilia ; Ercole, Ari

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Data-driven approaches to reveal the pathobiological heterogeneity in patients with traumatic brain injury
Autor: Åkerlund, Cecilia ; Ercole, Ari
Assuntos: Brain Injuries, Traumatic ; Humans ; Patients
Descrição: Funder: Karolinska Institute In traumatic brain injury (TBI), the inability of Glasgow Coma Scale (GCS) to capture the inherent heterogeneity of the disease may provide some explanation as to why randomised trials of biologically plausible therapies have largely failed. Such considerations provide strong motivation for the development of precision medicine approaches in this domain to improve outcome.3–5 Subgroups of patients with distinct pathophysiological or pathobiological mechanisms - so called endotypes - can be sought as a step to identifying individualised treatments. This can be done by data-driven approaches such as using unsupervised clustering algorithms.
Editor: Springer Science and Business Media LLC
Data de criação/publicação: 2023
Idioma: Inglês

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