Key points are not available for this paper at this time.
Personalized medicine, also known as precision medicine, represents a revolutionary approach to healthcare, tailoring medical interventions to individuals based on their unique characteristics such as genetics, environment, and lifestyle. This shift from a one-size-fits-all model to a targeted approach holds great promise for enhancing patient outcomes, improving treatment effectiveness, and reducing adverse effects. Advancements in genomics, proteomics, and data analysis have facilitated the identification of biomarkers and treatment targets, leading to the development of personalized diagnostics and therapies across various medical fields. However, the widespread adoption of personalized medicine is hindered by challenges like data privacy, regulatory obstacles, and ensuring equal access to innovative technologies. This summary outlines the principles, technological progress, clinical applications, obstacles, and future prospects of personalized medicine, underscoring its potential to transform healthcare delivery and introduce a new era of precision medicine. Personalized medicine represents a healthcare model incorporating periodic, individualized, participatory, and predictive measures. It aims to improve treatment outcomes by pinpointing the genetic factors underlying an individual's illness. Personalized medicine holds promise for decreasing both financial and time costs while enhancing patients' quality of life and potentially extending their life spans. It represents an approach to improve treatment outcomes by identifying the genomic makeup responsible for causing diseases in individuals. Personalized medicine encompasses a wide range of applications and can be utilized for diagnosing various illnesses.
Pandey et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: