THE FUTURE OF PERSONALIZED MEDICINE: HARNESSING GENERATIVE AI AND INTEGRATED HEALTHCARE DATA

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-04
DOI
https://doi.org/10.5281/zenodo.14035911
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

THE FUTURE OF PERSONALIZED MEDICINE: HARNESSING GENERATIVE AI AND INTEGRATED HEALTHCARE DATA

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

THE FUTURE OF PERSONALIZED MEDICINE: HARNESSING GENERATIVE AI AND INTEGRATED HEALTHCARE DATA

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Artificial Intelligence in Healthcare and Education
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