Traditional medicine follows a one-size-fits-all approach. Personalized medicine, powered by biotechnology, aims to change that by tailoring treatments to an individual’s genetic profile.
The Science Behind Personalized Medicine
Personalized medicine uses genetic information, biomarkers, and AI-driven analytics to develop individualized treatment plans.
Applications in Healthcare
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Oncology: Genetic profiling helps match cancer patients with the most effective targeted therapies.
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Pharmacogenomics: Understanding how genes affect drug responses ensures safer, more effective medications.
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Chronic Disease Management: Personalized approaches are improving treatment for diabetes, cardiovascular diseases, and autoimmune disorders.
Challenges and Future Potential
While personalized medicine is promising, challenges include high costs and the need for extensive genetic data. However, advancements in AI and big data are making personalized treatments more accessible.
