Advances in multimodal artificial intelligence to enhance environmental and biomedical data integration
The convergence of artificial intelligence (AI), biotechnology, and biomedical big data holds promise to transform understanding of human health and disease. Driven by the increasing availability and ability to generate, collect, and analyze environmental and biomedical data along with advanced comp...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Washington, DC :
National Academies Press
2023.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009815738606719 |
Tabla de Contenidos:
- CONVERGENCE OF ARTIFICIAL INTELLIGENCE, ENVIRONMENTAL HEALTH, AND BIOMEDICINE
- LEVERAGING AI/ML FOR ENVIRONMENTAL HEALTH AND BIOMEDICAL DATA INTEGRATION
- EMERGING METHODS FOR DATA INTEGRATION
- EXAMPLES OF PROMISING OPPORTUNITIES FOR MULTIMODAL AI IN HEALTH
- PERSPECTIVES ON AI AND DATA GOVERNANCE AND INFRASTRUCTURE
- TECHNOLOGIES AND TOOLS TO ADVANCE ENVIRONMENTAL HEALTH AND BIOMEDICAL RESEARCH
- REFLECTIONS.
