Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare
Multimodal artificial intelligence (AI) is driving a paradigm shift in modern biomedicine by seamlessly integrating heterogeneous data sources such as medical imaging, genomic information, and electronic health records. This review explores the transformative impact of multimodal AI across three pivotal areas: biomaterials science, medical diagnostics, and personalized medicine. In the realm of biomaterials, AI facilitates the design of patient-specific solutions tailored for tissue engineering, drug delivery, a…
Multimodal AI integrating medical imaging, genomic information and electronic health records enables patient-specific biomaterial design and improves diagnostic precision and targeted therapy
Clinical integration remains constrained by unresolved requirements for data security, regulatory standards, algorithmic transparency, bias mitigation and equitable access
Evidence
- Peer-reviewedNanomaterials2025-06-10
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Truvace Impact Record TRV-2026-0503, v1: “Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare.” Truvace, 2026-07-22. /record/TRV-2026-0503 (accessed at citation time). sha256 5e33290c285819cf…
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