How is Machine Learning Used in Personalized Medicine?
Personalized medicine aims to tailor treatments to individual patients based on their genetic makeup. Machine learning algorithms analyze genetic, clinical, and lifestyle data to predict the best treatment plans for patients. This approach not only improves treatment efficacy but also minimizes adverse drug reactions. By integrating ML with electronic health records, healthcare providers can offer more precise and personalized care.
