Metabolomics in the era of artificial intelligence

التفاصيل البيبلوغرافية
العنوان:	Metabolomics in the era of artificial intelligence
المؤلفون:	Coler, Elizabeth A, Chen, Wanxuan, Melnik, Alexey V, Morton, James T, Aksenov, Alexander A
المصدر:	Microbiota and Host ; volume 2, issue 1 ; ISSN 2753-6955
بيانات النشر:	Bioscientifica
سنة النشر:	2024
الوصف:	Artificial intelligence (AI) is rapidly revolutionizing our daily lives, as it automates mundane tasks, enhances productivity, and transforms how we interact with technology. We believe it is inevitable that AI will soon become a crucial tool in common research practices, from data analysis to writing papers. Here we explore how this transition is occurring in the field of mass spectrometry-based metabolomics, a rapidly growing area of science. Metabolomics focuses on studying small molecules in biological systems, offering valuable insights into metabolic processes and their impact on health, diseases, and physiological conditions. With the remarkable advancements in sequencing technologies and the exploration of the microbiome, the combination of sequencing and metabolomics presents profound opportunities to understand biological complexity. Incorporating AI is promising to unlock new possibilities for expanding the realms of scientific discoveries. In this review we specifically focus on the current trends in the application of AI in metabolomics research. Existing practices are examined and a perspective on future directions for integrating AI into metabolomics research is presented.
نوع الوثيقة:	article in journal/newspaper
اللغة:	unknown
DOI:	10.1530/mah-23-0017
الإتاحة:	https://doi.org/10.1530/mah-23-0017Test https://mah.bioscientifica.com/view/journals/mah/2/1/MAH-23-0017.xmlTest https://mah.bioscientifica.com/downloadpdf/journals/mah/2/1/MAH-23-0017.xmlTest
حقوق:	https://creativecommons.org/licenses/by-nc/4.0Test/
رقم الانضمام:	edsbas.27AE5C3C
قاعدة البيانات:	BASE

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الوصف
DOI:	10.1530/mah-23-0017