Proceedings of the 2025 6th International Conference on Big Data and Social Sciences (ICBDSS 2025)

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The Impact of Big Data on Precision Medicine: Prospective and Challenge

Authors
Ziheng Zhang1, Yanlin Tan2, *, Yuanhang He3
1School of Data Science, the Chinese University of Hongkong (Shenzhen), Shenzhen, 518171, China
2The Fourth Affiliated Hospital, Zhejiang University, Yiwu, 322023, China
3Network Programmer, No Affiliation and Institute Now, Graduated From Shanghai Jiaotong University, Shanghai, 200233, China
*Corresponding author. Email: zhq100@aliyun.com
Corresponding Author
Yanlin Tan
Available Online 26 February 2026.
DOI
10.2991/978-94-6239-598-5_12How to use a DOI?
Keywords
Precision medicine; Big data; Artificial intelligence; Healthcare innovation
Abstract

Precision medicine has emerged as a transformative paradigm in modern healthcare, leveraging advances in big data analytics to tailor medical treatment to individual characteristics or individuation. This paper explores the pivotal role of biomedical big data which integrating electrical clinical data, imaging, phenotypic, molecular and even social economic behavior in precision medicine. Precision medicine empowered with big data can overcome the limitations of traditional medicine, such as low data efficacy, inefficient diagnostics, and reliance on subjective physician experience. With the advent of 6G networks, real-time health monitoring and dynamic data integration are becoming feasible, further accelerating the implementation of precision medicine. However, significant challenges remain, including infrastructure development, data standardization, privacy preservation, and ethical surveillance. This article discusses current integrations of big data in medical practice, which glean light on achieving truly personalized, data-driven healthcare.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 6th International Conference on Big Data and Social Sciences (ICBDSS 2025)
Series
Advances in Computer Science Research
Publication Date
26 February 2026
ISBN
978-94-6239-598-5
ISSN
2352-538X
DOI
10.2991/978-94-6239-598-5_12How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ziheng Zhang
AU  - Yanlin Tan
AU  - Yuanhang He
PY  - 2026
DA  - 2026/02/26
TI  - The Impact of Big Data on Precision Medicine: Prospective and Challenge
BT  - Proceedings of the 2025 6th  International Conference on Big Data and Social Sciences (ICBDSS 2025)
PB  - Atlantis Press
SP  - 108
EP  - 113
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-598-5_12
DO  - 10.2991/978-94-6239-598-5_12
ID  - Zhang2026
ER  -