AI-Driven Transformations in Life Science Research: Emerging Trends and Future Directions

Kai Syin Lee

doi:10.54097/v6zr8h29

Authors

Kai Syin Lee

DOI:

https://doi.org/10.54097/v6zr8h29

Keywords:

Artificial Intelligence; Life Science; Big Data; New Trends.

Abstract

Artificial intelligence (AI) exerts a profound influence on life science research, demonstrating exceptional promise in big-data analysis, drug development, disease diagnosis, and precision medicine. These applications have injected fresh momentum into the field. This paper examines AI’s importance within life science research from multiple perspectives, systematically summarizes current research progress, explores emerging AI-driven trends, and provides an outlook on how a deeper integration of AI and life sciences may evolve. These findings hold significant value for shaping future developments in life science research.

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References

[1] Bajorath Jürgen. AI in Life Science Research – The Road Ahead[J]. Artificial Intelligence in the Life Sciences, 2022, 2

[2] Apell P, Eriksson H. Artificial intelligence (AI) healthcare technology innovations: the current state and challenges from a life science industry perspective[J]. Technology Analysis & Strategic Management, 2023, 35(2): 179-193.

[3] Lorenc-Kukila K. Cutting-edge AI tools revolutionizing scientific research in life sciences[J]. BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology, 2025, 106(1).

[4] Novakovsky G, Dexter N, Libbrecht M W, et al. Obtaining genetics insights from deep learning via explainable artificial intelligence[J]. Nature Reviews Genetics, 2023, 24(2): 125-137.

[5] Park J, Bai B, Ryu D H, et al. Artificial intelligence-enabled quantitative phase imaging methods for life sciences[J]. Nature Methods, 2023, 20(11): 1645-1660.