Molecular Biology Meets Machine Intelligence: Unlocking New Frontiers with AI and ML

Kaiser Jamil
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Kaiser Jamil: In-Charge Research Director and Head of Genetics Department, Bhagwan Mahavir Medical Research Centre, 10-1-1, Mahavir Marg, Masabtank, Hyderabad- 500004, Telangana, India

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 6, 1880-1884

Abstract: Molecular biology—once dominated by manual experimentation and hypothesis-driven research—has entered a new era powered by artificial intelligence (AI) and machine learning (ML). With the explosion of high-throughput techniques (such as next-generation sequencing, proteomics, and metabolomics), the biological sciences are now generating vast and complex datasets. Extracting meaningful insights from these data requires sophisticated computational tools. AI and ML, which excel at pattern recognition and data-driven prediction, have become indispensable in this field. This editorial deals with the latest advancements at this intersection, in deploying AI-driven approaches in molecular biology. As these technologies continue to evolve, their integration promises to transform how we interrogate biological data, design experiments, and ultimately, understand life at the molecular level. Artificial intelligence (AI) and machine learning (ML) are reshaping the landscape of biomedical research and translational science, revealing patterns and correlations that are beyond human capacity to discern and ultimately, understand life at the molecular level.

Date: 2025
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