Precision medicine
Precision Medicine is a medical model that proposes the customization of healthcare, with medical decisions, treatments, practices, or products being tailored to the individual patient. In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient’s genetic content or other molecular or cellular analysis. Tools employed in precision medicine can include molecular diagnostics, imaging, and analytics.
History[edit | edit source]
The term Precision Medicine was first coined in a report by the National Research Council in 2011 titled "Toward Precision Medicine". The report highlighted the need to move away from a "one-size-fits-all" approach in medicine, towards a new model that takes into account individual differences in people's genes, environments, and lifestyles.
Implementation[edit | edit source]
The implementation of precision medicine in healthcare has been facilitated by the Human Genome Project, which has made it possible to genetically screen patients to assess their susceptibility to certain diseases and their responses to treatments. Other tools such as Electronic Health Records (EHRs), Big Data, and Machine Learning are also used to analyze personal health data and predict health outcomes.
Challenges[edit | edit source]
Despite its potential, precision medicine faces several challenges. These include the high cost of genetic testing, the lack of standardized methods for data collection and analysis, and ethical issues related to genetic privacy and discrimination.
Future[edit | edit source]
The future of precision medicine looks promising, with ongoing advancements in technology and genomics, as well as increasing public and private support for personalized healthcare. However, the successful implementation of this model will require overcoming the current challenges and establishing a robust infrastructure for data sharing and analysis.
See also[edit | edit source]
References[edit | edit source]
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