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10.1080/19490976.2021.1872323 http://scihub22266oqcxt.onion/10.1080/19490976.2021.1872323 33522391!7872042!33522391     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Gut+Microbes 2021 ; 13 (1): 1-20 Nephropedia Template TP {{tp|p=33522391|t=2021. Harnessing machine learning for development of microbiome therapeutics |pdf=|usr=}}{{33522391}} gab.com Text Harnessing machine learning for development of microbiome therapeutics JO: Gut Microbes http://www.kidney.de/pget.php?&tw=1&pmid=33522391 #FOAvip The last twenty years of seminal microbiome research has uncovered microbiota's intrinsic relationship with human health. Studies elucidating the relationship between an unbalanced microbiome and disease are currently published daily. As such, microbiome big data have become a reality that provide a mine of information for the development of new therapeutics. Machine learning (ML), a branch of artificial intelligence, offers powerful techniques for big data analysis and prediction-making, that are out of reach of human intellect alone. This review will explore how ML can be applied for the development of microbiome-targeted therapeutics. A background on ML will be given, followed by a guide on where to find reliable microbiome big data. Existing applications and opportunities will be discussed, including the use of ML to discover, design, and characterize microbiome therapeutics. The use of ML to optimize advanced processes, such as 3D printing and in silico prediction of drug-microbiome interactions, will also be highlighted. Finally, barriers to adoption of ML in academic and industrial settings will be examined, concluded by a future outlook for the field. Twit Text FOAVip Harnessing machine learning for development of microbiome therapeutics ????Gut Microbes http://www.kidney.de/pget.php?&tw=1&pmid=33522391 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33522391 #FOAvip English Wikipedia <ref>{{Cite pmid|33522391}}</ref> Harnessing machine learning for development of microbiome therapeutics #MMPMID33522391 McCoubrey LE; Elbadawi M; Orlu M; Gaisford S; Basit AW Gut Microbes 2021[Jan]; 13 (1): 1-20 PMID33522391show ga The last twenty years of seminal microbiome research has uncovered microbiota's intrinsic relationship with human health. Studies elucidating the relationship between an unbalanced microbiome and disease are currently published daily. As such, microbiome big data have become a reality that provide a mine of information for the development of new therapeutics. Machine learning (ML), a branch of artificial intelligence, offers powerful techniques for big data analysis and prediction-making, that are out of reach of human intellect alone. This review will explore how ML can be applied for the development of microbiome-targeted therapeutics. A background on ML will be given, followed by a guide on where to find reliable microbiome big data. Existing applications and opportunities will be discussed, including the use of ML to discover, design, and characterize microbiome therapeutics. The use of ML to optimize advanced processes, such as 3D printing and in silico prediction of drug-microbiome interactions, will also be highlighted. Finally, barriers to adoption of ML in academic and industrial settings will be examined, concluded by a future outlook for the field. |*Machine Learning[MESH] |Artificial Intelligence[MESH] |Microbiota/*physiology[MESH]Harnessing machine learning for development of microbiome therapeutics(epmc).pdf DeepDyve Pubget Overpricing