Personalized medicine relies heavily on the detailed information contained within datanodes. By analyzing these nodes, researchers can identify specific genetic, molecular, and clinical factors that influence how a patient responds to treatment. This information can then be used to tailor therapies to the individual, improving treatment efficacy and reducing adverse effects. For example, a datanode containing information about a patient's genetic profile can help oncologists choose drugs that are more likely to be effective for that particular patient, thereby enhancing treatment outcomes.
