New Media Biotechnology Health Culture Communication Platform Innovation
Gardado en:
| Publicado en: | Journal of Commercial Biotechnology vol. 30, no. 1 (2025), p. 143 |
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| Autor Principal: | |
| Publicado: |
thinkBiotech LLC
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| Materias: | |
| Acceso en liña: | Citation/Abstract Full Text - PDF |
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| 001 | 3192384413 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1462-8732 | ||
| 022 | |a 1478-565X | ||
| 022 | |a 1353-3010 | ||
| 024 | 7 | |a 10.5912/jcb2481 |2 doi | |
| 035 | |a 3192384413 | ||
| 045 | 2 | |b d20250101 |b d20250228 | |
| 084 | |a 49217 |2 nlm | ||
| 100 | 1 | |a Cao, Hang |u School of Sports Medicine, Wuhan Sports University, Wuhan 430079, Hubei, China | |
| 245 | 1 | |a New Media Biotechnology Health Culture Communication Platform Innovation | |
| 260 | |b thinkBiotech LLC |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a With the rapid development of biotechnology and breakthroughs in artificial intelligence, new media has become a vital platform for the dissemination of sports and health culture. Traditional methods of health culture communication face challenges such as inefficiency in information transmission, low audience engagement, and lack of personalized content. The integration of biotechnology into new media platforms offers innovative solutions for addressing these challenges, enabling precise adaptation to users' health needs and behaviors. This study explores the innovation of new media platforms by combining biotechnology with deep learning technologies. Through a comparative analysis of traditional and new media-based health culture communication, this research examines the role of biotechnology in enhancing user interaction, content personalization, and the accuracy of health recommendations. Using the "Nationwide Fitness Programs" as a case study, we analyze the current state and value of sports health culture communication under the new media environment. Furthermore, we discuss the potential of biotechnology-driven platforms to transform the communication of health culture by leveraging deep neural networks and health-related data. The ultimate goal is to provide a scientific and forwardlooking perspective on the future of health culture communication platforms in the new media landscape. | |
| 653 | |a Innovations | ||
| 653 | |a Culture media | ||
| 653 | |a Comparative analysis | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Information processing | ||
| 653 | |a Communication | ||
| 653 | |a Biotechnology | ||
| 653 | |a Physical fitness | ||
| 653 | |a Deep learning | ||
| 653 | |a Neural networks | ||
| 653 | |a Commercialization | ||
| 653 | |a Health | ||
| 653 | |a Information dissemination | ||
| 653 | |a Media | ||
| 773 | 0 | |t Journal of Commercial Biotechnology |g vol. 30, no. 1 (2025), p. 143 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3192384413/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3192384413/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |