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Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach

Explores innovations in pharmaceutical research and manufacturing using the Internet of Things

Valentina Emilia Balas (Edited by), Vijender Kumar Solanki (Edited by), Raghvendra Kumar (Edited by)

9780128195932, Elsevier Science

Paperback, published 12 September 2019

354 pages, 160 illustrations (45 in full color)
22.9 x 15.1 x 2.3 cm, 0.57 kg

Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches, create efficiencies and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Pharmaceutical manufacturing companies are no exception to this, as IoT has the potential to revolutionize aspects of the pharmaceutical manufacturing process, from drug discovery to manufacturing.

Using clear, concise language and real world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety of topics presented offers readers multiple perspectives on a how to integrate the Internet of Things into pharmaceutical manufacturing.

1. A Neoteric Swarm Intelligence Stationed IOT-IWD Algorithm for Revolutionizing Pharmaceutical Industry leading to Digital Health 2. A Survey on IoT Applications Using Electroencephalogram 3. A Case Study: Impact of Iot Devices and Pharma on the Improvements of a Child in Autism 4. IoT based Pharmaceutics Data Analysis 5. Reliable Pharma cold chain monitoring and analytics through IOT Edge 6. The growing role of IOT in healthcare wearable's 7. IoT in Pharma Industry: Possibilities and Challenges 8. IoT Technologies for Elderly Healthcare Applications 9. An Insight of IoT Applications in Pharmaceutical Domain 10. Smart pills: A complete revolutionary technology than Endoscopy 11. BioSenHealth 2.0– A low cost, energy efficient IoT based blood glucose monitoring system

Subject Areas: Databases & the Web [UNN], Internet: general works [UBW], Biotechnology [TCB], Pharmacy / dispensing [MQP], Pharmacology [MMG], Pharmaceutical industries [KNDP]

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