The Role of AI in Personalized Medicine: Leveraging Big Data for Patient-Specific Treatments

Abstract

By moving from a homogeneous treatment approach to medicines tailored for the individual patients, personalized medicine is transforming their healthcare. Artificial intelligence (AI) is essentially driving this change as it uses vast information to develop the drugs, anticipate treatment outcomes & better diagnostics. Evaluating medical records, genetic data, and lifestyle factors, AI-driven algorithms help doctors create more accurate and effective treatment suggestions. Personalized medicine makes extensive use of artificial intelligence to optimize drug prescriptions, enabling machine learning models to anticipate a patient's reaction to certain drugs, thus reducing trial-and-error dosage. Furthermore, AI-driven genomics helps scientists identify genetic markers linked to diseases, therefore enabling the creation of customized medications acting at a molecular level. Apart from the choice of therapy, AI helps to personalize the treatment programs by constantly observing patient responses & instantaneous modification of recommendations. Nevertheless, despite its potential, the use of AI in tailored medicine raises ethical & legal questions involving patient data protection, prejudices in AI algorithms & the need for transparency in decision-making processes. Dealing with these challenges calls on the politicians, healthcare providers & technologists working together. AI is projected to increase the accessibility & efficiency of customized medicine in the future, hence increasing patient outcomes and creating precision healthcare

Ähnliche Arbeiten