The Future of Personalized Medicine: Harnessing Generative Ai and Integrated Healthcare Data
Year: 2024
Type: article
Abstract: Personalized medicine is transforming healthcare practices by tailoring specific treatment plans related to a patient's genetic profile, life patterns, and case history. The move to precision medicine finds its foundation in enhancements in the development of artificial intelligence and integration in health data. Generative AI, a type of AI trained from existing data to make new insights and predictions, has significant applications in analyzing complex data like genomic sequences, electronic health records, and real-time patient monitoring. AI integrated with health information will lead to earlier disease detection and better diagnostics, thus enabling customized treatment plans to improve the patient's outcomes and reduce health expenditures. This article will explore the currently ongoing technological transformation of healthcare, driven by AI and big data. It examines how personalized medicine empowers patients with real-time data and feedback, while various challenges keep arising with regard to data privacy, interoperability, and ethical concerns. It concludes with insight into the future of healthcare, where this segment of AI-driven personalized care has the possible propensity to transform how patients are treated.
Author: Researcher
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6893062428
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