Artificial intelligence: the human response to approach the complexity of big data in biology
Language
en
Article de revue
This item was published in
GigaScience. 2025, vol. 14, p. giaf057
Oxford Univ Press
English Abstract
<div><p>Since the late 2010s, artificial intelligence (AI), encompassing machine learning and propelled by deep learning, has transformed life science resear c h. It has become a crucial tool for ad v ancing the computational ...Read more >
<div><p>Since the late 2010s, artificial intelligence (AI), encompassing machine learning and propelled by deep learning, has transformed life science resear c h. It has become a crucial tool for ad v ancing the computational anal ysis of biological pr ocesses, the discov er y of natural products, and the study of ecosystem dynamics. This re vie w explores how the rapid increase in high-throughput omics data acquisition has dri v en the need for AI-based analysis in life sciences, with a particular focus on plant sciences, animal sciences, and microbiology. We highlight the role of omics-based predictive analytics in systems biology and innov ati v e AI-based anal ytical approaches for gaining deeper insights into comple x biolo gical systems. F inally, w e discuss the importance of FAIR (finda b le, accessib le, inter opera b le, r eusa b le) principles for omics data, as well as the future challenges and opportunities presented by the increasing use of AI in life sciences.</p></div>Read less <
English Keywords
artificial intelligence
machine learning
deep learning
omics
life science
biology
ANR Project
Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
Next generation metabolomics and fluxomics, from population to single cells
MetaboHUB National Infrastructure of metabolomics and fluxomics
Centre français de phénomique végétale - ANR-11-INBS-0012
Next generation metabolomics and fluxomics, from population to single cells
MetaboHUB National Infrastructure of metabolomics and fluxomics
Centre français de phénomique végétale - ANR-11-INBS-0012
Origin
Hal importedCollections