纳米物联网(IoNT)和机器学习(ML) -药物发现和医疗保健系统的创新

R Senthil Prabhu, D SabithaAnanthi, D Umamaheswari, S Rajasoundarya
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引用次数: 0

摘要

IoNT提供了一种介质,可以在高速网络的帮助下连接各种纳米设备。利用这项技术,纳米设备可以与其他先进技术一起部署,如云计算、大数据和机器学习。许多繁琐的任务可以由连接的无生命物体接管,使用物联网机器学习可以更好地获取信息。该技术在通过高质量和庞大的数据集提高众多制药和医疗保健行业的效率方面显示出巨大的希望。它有潜力促进创新,同时提高生产力,并在整个价值链中提供更好的结果。IoNT-ML可以通过推动创新和创造新的商业模式来显著提高制药公司的价值比例。这项技术几乎可以应用于制药行业的各个方面,从药物发现和开发到生产和营销。本文综述了机器学习的原理及其在医疗保健领域的各种应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Internet of Nanothings (IoNT) and Machine Learning (ML) – Innovations in drug discovery and Healthcare system
The IoNT offers a medium to connect various nanodevices with the help of high speed networks. Using this technology nanodevices can be deployed along with other advanced technologies such as cloud computing, big data and ML. Many tedious tasks can be taken over by linked inanimate objects and better availability of information using IoNT-ML. This technology has shown great promise in improving efficiencies across numerous pharmaceutical and healthcare industries with high quality and vast datasets. It has the potential to foster innovation while simultaneously improving productivity and delivering better outcomes across the value chain. IoNT-ML can significantly improve the value proportion of pharmaceutical companies by driving innovation and the creation of new business models. This technology can be implemented in almost every aspect of the pharmaceutical industry, right from the drug discovery and development to manufacturing and marketing. This review discusses the principle of ML and its various applications in healthcare sector.
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