ReviewNature materials2017
Leveraging advances in biology to design biomaterials.
Review in Nature materials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed.
- Self-assembling nanocomposites for smart drug delivery: towards personalized and stimuli-responsive therapeutics.RSC advances · 2026Review
- Mechanism-Guided Nanoengineered Therapeutic Peptides for Bone Healing.International journal of nanomedicine · 2026Review
- Biomaterial-Based Strategies for Gout Therapy: Recent Advances, Current Challenges, and Future Perspectives - A Review.International journal of nanomedicine · 2026Review
- Next-Generation Biomaterials: Design Strategies, Clinical Translation, and the Rise of Intelligent Therapeutic Platforms.ACS omega · 2025Review
- Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication.Nature communications · 2025Article
- Delivering living medicines with biomaterials.Nature reviews. Materials · 2025Article
- Recent regulatory developments in EU Medical Device Regulation and their impact on biomaterials translation.Bioengineering & translational medicine · 2025Review
- Statistical optimization of cell-hydrogel interactions for green microbiology - a tutorial review.RSC sustainability · 2024Review
- Advances in micropatterning technology for mechanotransduction research.Mechanobiology in medicine · 2024Review
- The optimization of poly(vinyl)-alcohol-alginate beads with a slow-release compound for the aerobic cometabolism of chlorinated aliphatic hydrocarbons.RSC sustainability · 2024Article
- Statistical optimization of hydrazone-crosslinked hyaluronic acid hydrogels for protein delivery.Journal of materials chemistry. B · 2024Article
- A Hierarchical Mechanotransduction System: From Macro to Micro.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- A paradigm for high-throughput screening of cell-selective surfaces coupling orthogonal gradients and machine learning-based cell recognition.Bioactive materials · 2023Article
- Engineered Biomimetic Fibrillar Fibronectin Matrices Regulate Cell Adhesion Initiation, Migration, and Proliferation via α5β1 Integrin and Syndecan-4 Crosstalk.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Screening hydrogels for antifibrotic properties by implanting cellularly barcoded alginates in mice and a non-human primate.Nature biomedical engineering · 2023Article
- Mechanoregulation of Osteoclastogenesis-Inducing Potentials of Fibrosarcoma Cell Line by Substrate Stiffness.International journal of molecular sciences · 2023Article
- Development of three-layer collagen scaffolds to spatially direct tissue-specific cell differentiation for enthesis repair.Materials today. Bio · 2023Article
- Dynamic mechanobiology of cardiac cells and tissues: Current status and future perspective.Biophysics reviews · 2023Review
- Static and Dynamic: Evolving Biomaterial Mechanical Properties to Control Cellular Mechanotransduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- Chiral Biomaterials for Nanomedicines: From Molecules to Supraparticles.Pharmaceutics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Biomaterials have dramatically increased in functionality and complexity, allowing unprecedented control over the cells that interact with them. From these engineering advances arises the prospect of improved biomaterial-based therapies, yet practical constraints favour simplicity. Tools from the biology community are enabling high-resolution and high-throughput bioassays that, if incorporated into a biomaterial design framework, could help achieve unprecedented functionality while minimizing the complexity of designs by identifying the most important material parameters and biological outputs. However, to avoid data explosions and to effectively match the information content of an assay with the goal of the experiment, material screens and bioassays must be arranged in specific ways. By borrowing methods to design experiments and workflows from the bioprocess engineering community, we outline a framework for the incorporation of next-generation bioassays into biomaterials design to effectively optimize function while minimizing complexity. This framework can inspire biomaterials designs that maximize functionality and translatability.
Indexed as
Identifiers
29170558What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.