Research Journal of Cell Sciences
Life Sciences in an Age of Artificial Intelligence
Abstract
V. Basil Hans
Artificial intelligence (AI) is revolutionising the life sciences like never before, allowing for speedier, more precise, and data-centric ways to approach biological research, healthcare, and medication discovery. The integration of machine learning, deep learning, natural language processing and other AI-based technologies has opened new avenues for the analysis of complex biological data sets, discovery of disease biomarkers, prediction of molecular interactions, acceleration of drug development and facilitation of personalised healthcare. The application of AI-driven technologies in genomes, proteomics, medical imaging, clinical research, and biotechnology is growing, helping with the identification of new therapeutic targets and enhancing diagnostic and prognostic skills. These developments have not solved the problems of data quality, privacy, algorithmic bias, interpretability, regulatory compliance and ethical issues. Successful adoption of AI thus demands a collaborative interdisciplinary effort amongst biologists, doctors, data scientists and regulatory specialists. This article examines the developing uses of AI in the life sciences, outlining the promise of AI to speed up scientific discovery and enhance healthcare results, as well as the constraints and ethical issues related to its use. The intersection of AI and life sciences is set to transform established research and clinical practices, unlocking new opportunities for innovation and precision medicine.