人工智能驱动的微生物群洞察:揭示肠道的神秘世界

Abhinandan Patil , Neha Singh , Mohsina Patwekar , Faheem Patwekar , Anasuya Patil , Jeetendra Kumar Gupta , Selvaraja Elumalai , Nagam Santhi Priya , Alapati sahithi
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摘要

这篇综述深入研究了人工智能(AI)带来的微生物见解的迷人领域,揭示了复杂肠道环境的奥秘。由于人工智能和机器学习(ML)的快速发展,对人类微生物组的研究不断发展。由于这一点,以前从未有过这种个性化医疗护理和治疗方法的新途径。我们的第一站是专门为微生物组数据分析开发的软件。使用人工智能算法和机器学习方法可以访问复杂的数据集并提取有价值的信息。接下来,我们来看看肠道微生物相互作用的预测模型。在这里,我们看到人工智能如何预测微生物的行为及其对宿主健康和疾病的影响。随后,我们研究了人工智能在检测微生物生物标志物方面的功效,这些生物标志物是肠道健康和潜在疾病危险的关键指标。利用这种创新方法,可以确定疾病的根本原因并制定治疗战略。我们还深入研究了个性化微生物组分析领域,并展示了人工智能如何帮助调整最适合每个人的饮食和生活方式,以增强他们的健康。人工智能的影响超出了研究和评估领域,还包括新药物的开发。我们的重点是人工智能如何帮助寻找新的益生菌和基于微生物组的治疗方法,这可能有一天会导致各种医疗条件的有效补救措施的发展。然而,尽管我们预见到人工智能的潜力,但我们必须同样考虑到研究微生物群所涉及的伦理问题。本文强调了数据保护、透明度和减少偏见在确保负责任和公平使用人工智能方面的重要性。如果我们遵守道德准则,努力赢得公众的信任,我们就可以在不践踏人类权利或加剧现有不平等的情况下,最大限度地发挥人工智能的潜力。最后,这项研究证明了人工智能驱动的微生物群发现的潜在力量。通过坚持道德原则,并在追求新挑战时保持警惕,我们可以将微生物群研究推向数据驱动的定制医疗保健的未来,利用人工智能作为实现最佳健康和保健的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-driven insights into the microbiota: Figuring out the mysterious world of the gut
This review delves into the fascinating realm of microbial insights enabled by artificial intelligence (AI), unveiling the mysteries of the intricate gut environment. Research into the human microbiome has evolved due to the fast development of AI and Machine learning (ML). Never before have such novel avenues for individualized medical care and therapeutic therapies been available as a result of this. Our first stop is at software developed specifically for microbiome data analysis. Complex datasets can be accessed and valuable information extracted using AI algorithms and machine learning approaches. Next, we take a look at predictive modeling of gut microbial interactions. Here we see how AI can foretell the actions of microorganisms and their effects on host health and illness. Afterwards, we investigate the efficacy of AI in detecting microbe biomarkers, which are crucial indicators of gut health and potential dangers of disease. A disease's root cause can be identified and a treatment strategy developed using this innovative approach. We also delve into the realm of personalized microbiome analysis and demonstrate how AI may assist in making dietary and lifestyle adjustments that are most suited to each individual in order to enhance their health. The impact of AI extends beyond the realm of research and assessment and include the development of novel medications. Our focus is on the ways AI is assisting the hunt for novel probiotics and microbiome-based therapies, which could one day lead to the development of effective remedies for various medical conditions. However, although we anticipate AI's potential, we must equally consider the ethical considerations involved in studying microbiota. This paper highlights the significance of data protection, transparency, and bias reduction in ensuring the responsible and fair use of AI. We can maximize AI's potential without trampling on people's rights or exacerbating existing inequalities if we adhere to ethical guidelines and work to earn the public's trust. Finally, this study demonstrates the potential power of AI-driven microbiome discoveries. By being committed to ethical principles and vigilant in our pursuit of new challenges, we may advance microbiota research toward a future of data-driven, customized healthcare that utilizes AI as a valuable tool for optimal health and wellness.
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