What is precision medicine?
By Inke R. König, Oliver Fuchs, G. Hansen, E. von Mutius, Matthias V. Kopp. European Respiratory Journal, 2017
1,108 citations recorded by the source corpus.
The term “precision medicine” has become very popular over recent years, fuelled by scientific as well as political perspectives. Despite its popularity, its exact meaning, and how it is different from other popular terms such as “stratified medicine”, “targeted therapy” or “deep phenotyping” remains unclear. Commonly applied definitions focus on the stratification of patients, sometimes referred to as a novel taxonomy, and this is derived using large-scale data including clinical, lifestyle, genetic and further biomarker information, thus going beyond the classical “signs-and-symptoms” approach. While these aspects are relevant, this description leaves open a number of questions. For example, when does precision medicine begin? In which way does the stratification of patients translate into better healthcare? And can precision medicine be viewed as the end-point of a novel stratification of patients, as implied, or is it rather a greater whole? To clarify this, the aim of this paper is to provide a more comprehensive definition that focuses on precision medicine as a process. It will be shown that this proposed framework incorporates the derivation of novel taxonomies and their role in healthcare as part of the cycle, but also covers related terms. Precision medicine is defined as a process involving the derivation of novel taxonomies based on deep phenotyping http://ow.ly/WHna30dNNOZ
Subfields: Artificial Intelligence, Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/fe7710dd9aa576feb2a11eace77c4888dc9cb658
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Genetics
In Molecular Biology
Citations in the corpus
- A review on longitudinal data analysis with random forest (2022, positive): “In order to serve the purpose of precision medicine, the development of prediction models with longitudinal data using statistical or machine learning approaches is crucial [28].”
- Artificial intelligence and machine learning in precision and genomic medicine (2021, background): “Precision medicine is a rapidly growing branch of therapeutics developed on human genetic makeup, lifestyle, gene expression, and surrounding environment [1, 2].”
- Machine Learning for Precision Medicine. (2020, background): “This has also been possible due to the significant decreases in costs and time 9 to conduct genetic testing – the first genome was sequenced in 2001 and took over a 10 decade and an estimated $3 billion USD to complete, while today a genome can be 11 sequenced within 24 hours for approximately $1000”