2017 | Inke R. König, Oliver Fuchs, Gesine Hansen, Erika von Mutius, Matthias V. Kopp
Precision medicine is a process that involves the derivation of novel taxonomies based on deep phenotyping, integrating large-scale data including clinical, lifestyle, genetic, and biomarker information. This approach aims to provide more precise and personalized healthcare by stratifying patients into subgroups with distinct disease susceptibility and response to treatment. The process is cyclical, with ongoing efforts to improve precision, and includes three main tracks: data preprocessing and mining, development of diagnostic and prognostic models, and prediction of treatment response. Deep phenotyping involves comprehensive and fine-grained descriptions of individuals, often using molecular and genetic data. The development of models from these data requires statistical and bioinformatics methods, and their clinical utility must be validated through independent samples. Precision medicine is not a static state but an evolving process, with stratified medicine and tailored therapy as interim outputs. The term "precision medicine" should not be viewed as a steady state or specific output but as a continuous process of feedback loops and knowledge gain.Precision medicine is a process that involves the derivation of novel taxonomies based on deep phenotyping, integrating large-scale data including clinical, lifestyle, genetic, and biomarker information. This approach aims to provide more precise and personalized healthcare by stratifying patients into subgroups with distinct disease susceptibility and response to treatment. The process is cyclical, with ongoing efforts to improve precision, and includes three main tracks: data preprocessing and mining, development of diagnostic and prognostic models, and prediction of treatment response. Deep phenotyping involves comprehensive and fine-grained descriptions of individuals, often using molecular and genetic data. The development of models from these data requires statistical and bioinformatics methods, and their clinical utility must be validated through independent samples. Precision medicine is not a static state but an evolving process, with stratified medicine and tailored therapy as interim outputs. The term "precision medicine" should not be viewed as a steady state or specific output but as a continuous process of feedback loops and knowledge gain.