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Big Data and Machine Learning in Personalized Medicine
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1
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2020
Jahr
Abstract
The integration of big data and machine learning (ML) in personalized medicine is transforming the healthcare landscape by enabling more accurate, efficient, and individualized treatment plans. By analyzing vast amounts of genetic, clinical, and lifestyle data, big data analytics and ML algorithms can identify patterns, predict disease risks, and recommend tailored therapies for patients. This article explores the role of big data and machine learning in personalized medicine, highlighting their applications in diagnostics, treatment optimization, drug discovery, and patient monitoring. The article also discusses the challenges, ethical considerations, and future potential of this technology in revolutionizing healthcare.
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