R Senthil Prabhu, D SabithaAnanthi, D Umamaheswari, S Rajasoundarya
{"title":"Internet of Nanothings (IoNT) and Machine Learning (ML) – Innovations in drug discovery and Healthcare system","authors":"R Senthil Prabhu, D SabithaAnanthi, D Umamaheswari, S Rajasoundarya","doi":"10.53294/ijfstr.2022.2.1.0021","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":199114,"journal":{"name":"International Journal of Frontiers in Science and Technology Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Frontiers in Science and Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53294/ijfstr.2022.2.1.0021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.