Microbiome Medicine-Harnessing the Power of Gut Health
DOI:
https://doi.org/10.55938/wlp.v1i1.91Keywords:
Microbiome, Gut Microbiota, Metagenome, Gut-Adapted Pathogens (Gi), Colorectal Cancer (Crc)Abstract
The study of gut microbiota, and the bacteria that live in the gastrointestinal tract, is growing more and more popular as a consequence of the potential connections among host systems and gut microbiota, which could be associated with neuropsychiatric conditions like anxiety, depression, autism, obesity, diabetes mellitus, and autoimmune diseases. An overview of the effects of gut microorganisms on neurological injury and physiological function is given in this review. The significance of probiotics for immunity, gastrointestinal complications, and long-term health is highlighted by this study. Interestingly, due to concerns about safety and strain-specificity, a tailored strategy must be developed. Individualized probiotic treatments to enhance human health and wellbeing are the ultimate objective. In order for developing microbiome therapeutics, machine learning (ML) is explored in this article. Along with a guidance for locating trustworthy big data, it also provides an overview of machine learning, its current applications, including drug-microbiome interaction prediction, 3D printing enhancement, and microbiome therapy design and characterization. In academics and business, it also discusses barriers to machine learning acceptance. Exploring Artificial Intelligence (AI), ML and Deep Learning (DL) technology’s potential for estimating patient risk and comprehending drug-microbiome interactions. It emphasizes how the drug-microbiota interaction is now doing and makes an argument for how smart machine learning applications could influence patient care paradigms.
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