Medication optimization is the process of making sure the medications a person takes are the safest, most effective, and most appropriate for their individual biology. While most prescriptions are still based on population averages, people process medications very differently due to genetics, age, health conditions, and interactions with other drugs or supplements. As a result, the same medication can work well for one person, cause severe side effects in another, or fail entirely for someone else.
Pharmacogenomics, often called PGx, is the science that helps explain these differences. By analyzing genetic variants involved in drug metabolism and response, clinicians can better predict how a patient may react to certain medications and whether dosage adjustments or alternative treatments may be more appropriate. This information can help reduce trial-and-error prescribing, lower the risk of adverse drug reactions, and improve treatment effectiveness.
Medication optimization is especially important in cancer care, where treatment regimens are often complex and highly sensitive to dosing and drug interactions. However, it also applies to many commonly prescribed medications used every day, including antidepressants, pain medications, cardiovascular drugs, and blood thinners. Research shows that genetic differences affecting medication response are extremely common across the general population.
The articles in this section explore how pharmacogenomics works, why medication response varies from person to person, and how personalized medication management is improving safety and outcomes across healthcare. Topics include adverse drug reactions, drug-gene interactions, pharmacogenomic testing, medication safety, and the growing role of precision medicine in prescribing decisions.
Explore the articles below to learn how medication optimization is helping people receive safer, more personalized care based on their unique genetics.