دورية أكاديمية
Convergence Research and Training in Computational Bioengineering: A Case Study on AI/ML-Driven Biofilm-Material Interaction Discovery
| العنوان: | Convergence Research and Training in Computational Bioengineering: A Case Study on AI/ML-Driven Biofilm-Material Interaction Discovery |
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| اللغة: | English |
| المؤلفون: | Jessica L. S. Zylla, Alain B. Bomgni, Rajesh K. Sani, Mahadevan Subramaniam, Carol Lushbough, Robb Winter, Venkataramana R. Gadhamshetty, Parvathi Chundi, Etienne Z. Gnimpieba (ORCID |
| المصدر: | Biomedical Engineering Education. 2024 4(2):283-294. |
| الإتاحة: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| تاريخ النشر: | 2024 |
| Sponsoring Agency: | National Science Foundation (NSF), Office of Integrative Activities (OIA) National Institutes of Health (NIH) (DHHS) |
| Contract Number: | 1849206 1920954 5P20GM10344320 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Research Methodology, Interdisciplinary Approach, Active Learning, Student Projects, Learning Modules, Group Instruction, Convergent Thinking, Biotechnology, Engineering Education, Graduate Study |
| DOI: | 10.1007/s43683-024-00146-6 |
| تدمد: | 2730-5937 2730-5945 |
| مستخلص: | Historically, research disciplines have successfully operated independently. However, the emergence of transdisciplinary research has led to convergence methodologies, resulting in groundbreaking discoveries. Despite the benefits, graduate programs face challenges in implementing transdisciplinary research and preparing students for real-world collaboration across diverse disciplines and experience levels. We propose a convergence training framework integrating project-based learning, training modules, and collaborative teaming to address this. This approach, tested in a multi-institutional workshop, proved effective in bridging expertise gaps and fostering successful convergence learning experiences in computational biointerface (material-biology interface) research. Here, biointerface research focuses on control of biomolecular interactions with technologically relevant material surfaces, which is a critical component of biotechnology and engineering applications. Positive outcomes, including conference presentations and published models, endorse the framework's application in graduate curricula, particularly for students engaging in transdisciplinary collaboration. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| رقم الأكسشن: | EJ1432509 |
| قاعدة البيانات: | ERIC |
Find this article in full text from Springer Verlag. | تدمد: | 2730-5937 2730-5945 |
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| DOI: | 10.1007/s43683-024-00146-6 |