ReviewMaterials today. Bio2026
Data-driven multiscale design of composite biomaterials: Integrating experiments, imaging, and computational modeling for biomedical engineering.
Review in Materials today. Bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Applications of Nanofabrication Technologies in the Preparation of Biomimetic Structures.Biomimetics (Basel, Switzerland) · 2026Review
- Biomimetic gradient hydrogels for osteochondral regeneration: from multi-dimensional design to clinical translation.Frontiers in bioengineering and biotechnology · 2026Review
- Recent advances in multimodal foundation model-enabled peptide screening and optimization for smart biomaterials and functional tissue engineering.Frontiers in bioengineering and biotechnology · 2026Review
- Advanced biomaterials and digital twins for precision psychiatry: neuroimmune modulation and AI-guided therapeutics.Frontiers in bioengineering and biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Composite biomaterials are central to biomedical engineering, where implants and scaffolds must simultaneously meet mechanical, biological, and functional demands across length scales. This review outlines a data-driven multiscale design paradigm that unites experiments, three-dimensional imaging, and computational modelling. We present hierarchical architectures in natural tissues, such as bone, and their implications for stiffness, toughness, and damage tolerance, which inspire the design of synthetic composites. Then we discuss multiscale mechanical and physicochemical characterization, including nanoindentation, bulk mechanical tests, dynamic mechanical analysis (DMA), rheology, and
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Registered trials
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