Is Personalized Medicine the Future of Healthcare?

 


Medical approaches which are Previous have been based upon a strategy of “one size fits all”, applying the treatments to those with the same diseases. However, this has limitations as there are a whole range of disease gives factors; include environments and genetics which affect the medications efficacy.

Through genome analysis, scientists can personalize drugs to make them more effective and specific, thereby increases treatment outputs. However, there are several drawbacks to this approach. This article aims to discuss the cons and pros of personalized medicine and assess its possible future roles.

 Choices of personalized medicine:

Many advantages to the applications of personalized medicine within healthcare. Firstly, this approach can be used to diagnose and detect diseases in a highly specific manner, categorizing them by variation of genetic rather than by symptom. This allows treatments which are increasingly effective and specific, improving the prognosis.

 For instance, melanomas which have a specific mutation in the BRAF gene can be targeted by a highly specific, BRAF-targeting drug. Typical treatment for melanomas is not viable in these patients, and therefore this treatment dramatically increases prognosis.

 Additionally, analysis of genomic can reveal variations in genetic which can guide dosage of drug, meaning that patients can get drug maximal benefit with least side effects. This has been applied to a whole range of diseases so far, such as mental illness, cancer and inflammatory bowel disease. One such example is the detection of variations within CYP450 genes. There are many variations of these genes, which are involved in the metabolism of whole drugs of plethora. Therefore, identification of gene variants allows the of drugs prescription at effective levels, whilst decreasing side effects which are harmful.

Another advantage of personalized medicine is the reduction of trail-and-error prescriptions. Initial prescriptions are often not effective due to genetic variations, meaning that patients must try a range of drugs to find one that works for them.

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