An overview of AI in Biofunctional Materials
The integration of artificial intelligence (AI) into biofunctional materials is transforming material design, synthesis, and optimization for medical applications. Machine learning and deep learning models now predict material properties (e.g., mechanical strength, degradation rate) with > 90% ac...
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| Format: | Article |
| Language: | English |
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ELS Publishing (ELSP)
2025-06-01
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| Series: | Biofunctional Materials |
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| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/BM/2025/bm20250010.pdf |
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| _version_ | 1849735707665367040 |
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| author | Dazhou Li |
| author_facet | Dazhou Li |
| author_sort | Dazhou Li |
| collection | DOAJ |
| description | The integration of artificial intelligence (AI) into biofunctional materials is transforming material design, synthesis, and optimization for medical applications. Machine learning and deep learning models now predict material properties (e.g., mechanical strength, degradation rate) with > 90% accuracy, dramatically reducing trial-and-error in scaffold and nanoparticle fabrication. AI-driven platforms accelerate surface functionalization strategies to enhance cell adhesion and drug loading, while generative models design stimuli-responsive hydrogels and smart polymers that mimic tissue mechanics. Case studies include rapid optimization of nanoparticle synthesis via Bayesian frameworks and the discovery of biodegradable stent materials through random forest screening. Despite remaining challenges in data quality and regulatory alignment, these advances underscore AI’s capacity to deliver high-performance, sustainable biomaterials and point toward an interdisciplinary roadmap for next-generation therapeutic solutions. |
| format | Article |
| id | doaj-art-e22f5e4bb9f949c1a2b0a8bc3dde23b7 |
| institution | DOAJ |
| issn | 2959-0574 2959-0582 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | ELS Publishing (ELSP) |
| record_format | Article |
| series | Biofunctional Materials |
| spelling | doaj-art-e22f5e4bb9f949c1a2b0a8bc3dde23b72025-08-20T03:07:28ZengELS Publishing (ELSP)Biofunctional Materials2959-05742959-05822025-06-013210.55092/bm202500101888399749320298496An overview of AI in Biofunctional MaterialsDazhou Li0College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, ChinaThe integration of artificial intelligence (AI) into biofunctional materials is transforming material design, synthesis, and optimization for medical applications. Machine learning and deep learning models now predict material properties (e.g., mechanical strength, degradation rate) with > 90% accuracy, dramatically reducing trial-and-error in scaffold and nanoparticle fabrication. AI-driven platforms accelerate surface functionalization strategies to enhance cell adhesion and drug loading, while generative models design stimuli-responsive hydrogels and smart polymers that mimic tissue mechanics. Case studies include rapid optimization of nanoparticle synthesis via Bayesian frameworks and the discovery of biodegradable stent materials through random forest screening. Despite remaining challenges in data quality and regulatory alignment, these advances underscore AI’s capacity to deliver high-performance, sustainable biomaterials and point toward an interdisciplinary roadmap for next-generation therapeutic solutions.https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/BM/2025/bm20250010.pdfai in biofunctional materialsmachine learning in material designbiomaterials in tissue engineeringbiocompatible materialssustainable biomaterialsdata-driven material optimization |
| spellingShingle | Dazhou Li An overview of AI in Biofunctional Materials Biofunctional Materials ai in biofunctional materials machine learning in material design biomaterials in tissue engineering biocompatible materials sustainable biomaterials data-driven material optimization |
| title | An overview of AI in Biofunctional Materials |
| title_full | An overview of AI in Biofunctional Materials |
| title_fullStr | An overview of AI in Biofunctional Materials |
| title_full_unstemmed | An overview of AI in Biofunctional Materials |
| title_short | An overview of AI in Biofunctional Materials |
| title_sort | overview of ai in biofunctional materials |
| topic | ai in biofunctional materials machine learning in material design biomaterials in tissue engineering biocompatible materials sustainable biomaterials data-driven material optimization |
| url | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/BM/2025/bm20250010.pdf |
| work_keys_str_mv | AT dazhouli anoverviewofaiinbiofunctionalmaterials AT dazhouli overviewofaiinbiofunctionalmaterials |