Science Cultivation

Science Cultivation

Artificial Intelligence and the New Renaissance in Life Sciences and Biomedicine

Document Type : Promotion Article

Authors
1 Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
2 Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Abstract
The deep convergence of artificial intelligence (AI) and the life sciences is rapidly transcending the traditional boundaries of science and heralding a new renaissance. This transformative synergy has not only challenged classical approaches in biology but has also opened new horizons for understanding the fundamental mechanisms of life, disease diagnosis, and the development of targeted and personalized therapies. Traditionally, biology has relied on qualitative and descriptive models, which approach that, while enabling conceptual understanding, lack robust quantitative and predictive power due to the intrinsic complexity of biological systems. In the absence of universal and deterministic laws, analyzing the behavior of multilevel, highly interconnected biological systems has long been constrained. In this context, artificial intelligence, with its powerful capability to analyze massive, high-dimensional, and heterogeneous datasets, has substantially bridged this longstanding gap. Rapid advances in machine learning (ML) and deep learning (DL) algorithms have expanded AI applications from molecular pathology, biotechnology, and biomedicine to intelligent drug design, clinical trial analysis, advanced imaging, and therapeutic management. Today, artificial intelligence has become a central pillar of personalized medicine, genome editing, and clinical decision-making, ushering in a new renaissance that promises unprecedented speed in uncovering the secrets of life and is pushing the boundaries of possibility in biological science.
Keywords

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Volume 15, Issue 2 - Serial Number 30
December 2025
Pages 215-223

  • Receive Date 16 October 2025
  • Revise Date 20 November 2025
  • Accept Date 28 November 2025