Vol. 1 (11) pp. 42-64 DOI: 10.21474/JNCS01/102

TRANSFORMING HEALTHCARE WITH EMERGING TECHNOLOGIES: INTEGRATING AI, ML, XR, 6G, BIG DATA FOR PERSONALIZED MEDICINE AND PREDICTIVE CARE

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  • Department of Computing, Institute of Electrical and Electronics Engineers (IEEE), USA.
  • Department of Computer Science, American International UniversityBangladesh (AIUB), Bangladesh.
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Abstract

This study presents a critical analysis of Health Data Science and its evolving role in transforming healthcare delivery through advanced computational methodologies. By systematically integrating machine learning (ML), big data analytics, the Internet of Things (IoT), and extended reality (XR), the research demonstrates how these technologies contribute to early diagnosis, personalized treatment, and clinical decision support across diverse medical domains such as oncology, cardiology, diabetes care, radiology, and public health.

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How to Cite This Article

Zarif Bin Akhtar and Ahmed Tajbiul Rawol (2025); TRANSFORMING HEALTHCARE WITH EMERGING TECHNOLOGIES: INTEGRATING AI, ML, XR, 6G, BIG DATA FOR PERSONALIZED MEDICINE AND PREDICTIVE CARE, Jana Nexus: Journal of Computer Science, 1 (11), 42-64, ISSN (O): 3108-1916. DOI: https://doi.org/10.21474/JNCS01/102

Corresponding Author

Zarif Bin Akhta
Department of Computing, Institute of Electrical and Electronics Engineers (IEEE), USA.
India

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