Personalized medicine aims to tailor treatments based on the genetic profile of an individual’s cancer. However, this approach faces several obstacles, including the high cost and time required for genomic sequencing. Additionally, the sheer volume of data generated necessitates advanced bioinformatics tools and expertise to interpret, which is not always readily available. There is also the issue of genetic variability among patients, which complicates the identification of universally effective treatment options.
