When a patient is seriously ill, the right dose of medicine is a delicate balance. Doctors often use standard formulas based on weight or body surface area to decide how much medicine to give. However, these standard methods do not account for every unique factor in a person's body, which can lead to treatments that are less effective or more toxic than necessary.
Newer strategies, known as individualized dosing, aim to change this. These methods use specific data, such as a patient's unique biomarkers or real-time modeling, to pick the best dose. This approach is being looked at for several types of high-stakes treatments, including chemotherapy, immunotherapies, and medications used in critical care. The goal is to maximize the medicine's ability to heal while minimizing the harm it causes to the body.
While these precision methods offer a more patient-centered way to treat illness, they are not perfect. They can be complex to calculate and may face practical hurdles in a busy hospital setting. Because this review summarizes existing knowledge rather than new trial data, the full impact of these methods in every clinical situation is still being explored.