In medicine, data is very important, but we aren’t always good at
understanding and utilizing the data we collect. In theory, the more data
you have, the easier it is to find the correct treatment and cure the
underlying condition of your patient. Nevertheless, some common diseases,
like cancer, are too unique to the patient to be cured with the help of a
general sample size. No cancer is the same as the next, which makes it so
hard to deal with.Personalized medicine refers to treatment of illnesses, not through
knowledge from big sample sizes, but through exact analysis of the
patient’s very own data. Recent development of genomics, AI and digital
twins allows for specific medication and dosages based on your own very
data, like genetics. This approach showcases a paradigm shift in modern
medicine, where through advanced technology, more specialized treatments
can be applied.
understanding and utilizing the data we collect. In theory, the more data
you have, the easier it is to find the correct treatment and cure the
underlying condition of your patient. Nevertheless, some common diseases,
like cancer, are too unique to the patient to be cured with the help of a
general sample size. No cancer is the same as the next, which makes it so
hard to deal with.Personalized medicine refers to treatment of illnesses, not through
knowledge from big sample sizes, but through exact analysis of the
patient’s very own data. Recent development of genomics, AI and digital
twins allows for specific medication and dosages based on your own very
data, like genetics. This approach showcases a paradigm shift in modern
medicine, where through advanced technology, more specialized treatments
can be applied.
ECGs use personalized data to make precise treatment plans for individual
patients
