AI and data-driven biomaterials

Bioactive Materials (Impact Factor: 23.6) is an international, peer-reviewed research publication covering all aspects of bioactive materials.

The journal welcomes the submission of research papers, reviews and rapid communications that are concerned with the science and engineering of next-generation biomaterials that come into contact with cells, tissues or organs across all living species. 

This collection features articles on "AI and data-driven biomaterials "  published in Bioactive Materials. All articles are free to read and download.

1. AI-enabled organoids: Construction, analysis, and application

Bai, Long; Wu, Yan; Li, Guangfeng; Zhang, Wencai; Zhang, Hao; Su, Jiacan

2. AI-driven 3D bioprinting for regenerative medicine: From bench to bedside

Zhang, Zhenrui; Zhou, Xianhao; Fang, Yongcong; Xiong, Zhuo; Zhang, Ting

3. Harnessing the power of artificial intelligence for human living organoid research

Wang, Hui; Li, Xiangyang; You, Xiaoyan; Zhao, Guoping

4. Synchrotron microtomography reveals insights into the degradation kinetics of bio-degradable coronary magnesium scaffolds

Menze, Roman; Hesse, Bernhard; Kusmierczuk, Maciej; Chen, Duote; Weitkamp, Timm; Bettink, Stephanie; Scheller, Bruno

5. Emerging brain organoids: 3D models to decipher, identify and revolutionize brain

Zhao, Yuli; Wang, Ting; Liu, Jiajun; Wang, Ze; Lu, Yuan

6. Harnessing advanced computational approaches to design novel antimicrobial peptides against intracellular bacterial infections

Fang, Yanpeng; Fan, Duoyang; Feng, Bin; Zhu, Yingli; Xie, Ruyan; Tan, Xiaorong; Liu, Qianhui; Dong, Jie; Zeng, Wenbin

7. Throw out an oligopeptide to catch a protein: Deep learning and natural language processing-screened tripeptide PSP promotes Osteolectin-mediated vascularized bone regeneration

Chen, Yu; Chen, Long; Wu, Jinyang; Xu, Xiaofeng; Yang, Chengshuai; Zhang, Yong; Chen, Xinrong; Lin, Kaili; Zhang, Shilei

8. Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data

Thakur, Abhimanyu; Bezerra, Pedro Correia Santos; Abhishek; Zeng, Shihao; Zhang, Kui; Treptow, Werner; Luna, Alexander; Dougherty, Urszula; Kwesi, Akushika; Huang, Isabella R.; Bestvina, Christine; Garassino, Marina Chiara; Duan, Fuyu; Gokhale, Yash; Duan, Bin; Chen, Yin; Lian, Qizhou; Bissonnette, Marc; Huang, Jianpan; Chen, Huanhuan Joyce

9. Lung cancer intravasation-on-a-chip: Visualization and machine learning-assisted automatic quantification

Wong, Christy Wing Tung; Lee, Joyce Zhi Xuen; Jaeschke, Anna; Ng, Sammi Sze Ying; Lit, Kwok Keung; Wan, Ho-Ying; Kniebs, Caroline; Ker, Dai Fei Elmer; Tuan, Rocky S.; Blocki, Anna