Robotics & Machine Learning Daily News2024,Issue(MAY.14) :71-71.

Studies from Mashhad University of Medical Sciences Have Provided New Data on Ar tificial Intelligence (Deciphering the gut microbiome: The revolution of artific ial intelligence in microbiota analysis and intervention)

Robotics & Machine Learning Daily News2024,Issue(MAY.14) :71-71.

Studies from Mashhad University of Medical Sciences Have Provided New Data on Ar tificial Intelligence (Deciphering the gut microbiome: The revolution of artific ial intelligence in microbiota analysis and intervention)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators discuss new findings in artificial intelligence. According to news reporting out of Mashhad, Iran, by Ne wsRx editors, research stated, “The human gut microbiome is an intricate ecosyst em with profound implications for host metabolism, immune function, and neuroend ocrine activity.” Our news reporters obtained a quote from the research from Mashhad University of Medical Sciences: “Over the years, studies have strived to decode this microbia l universe, especially its interactions with human health and underlying metabol ic processes. Traditional analyses often struggle with the complex interplay wit hin the microbiome due to presumptions of microbial independence. In response, m achine learning (ML) and deep learning (DL) provide advanced multivariate and no n-linear analytical tools that adeptly capture the complex interactions within t he microbiota. With the influx of data from metagenomic next-generation sequenci ng (mNGS), there’s an increasing reliance on these artificial intelligence (AI) subsets to derive actionable insights. This review delves deep into the cutting- edge ML techniques tailored for human gut microbiota research.”

Key words

Mashhad University of Medical Sciences/Mashhad/Iran/Asia/Artificial Intelligence/Emerging Technologies/Machine Lea rning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文