Artificial intelligent for biomaterials and tissue engineering

Xiaosong Gu

Journal of Intelligent Medicine ›› 2025, Vol. 2 ›› Issue (1) : 3 -6.

PDF
Journal of Intelligent Medicine ›› 2025, Vol. 2 ›› Issue (1) : 3 -6. DOI: 10.1002/jim4.70000
NEWS AND VIEWS

Artificial intelligent for biomaterials and tissue engineering

Author information +
History +
PDF

Keywords

Artificial Intelligent / biomaterials / tissue engineering

Cite this article

Download citation ▾
Xiaosong Gu. Artificial intelligent for biomaterials and tissue engineering. Journal of Intelligent Medicine, 2025, 2(1): 3-6 DOI:10.1002/jim4.70000

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Wong F, Zheng EJ, Valeri JA, et al. Discovery of a structural class of antibiotics with explainable deep learning. Nature. 2024; 626(7997): 177-185. https://doi.org/10.1038/s41586-023-06887-8

[2]

Gu XS. Biodegradable materials and the tissue engineering of nerves. Engineering. 2021; 7(12): 1700-1703. https://doi.org/10.1016/j.eng.2021.10.011

[3]

Rao L, Yuan Y, Shen X, Yu G, Chen X. Designing nanotheranostics with machine learning. Nat Nanotechnol. 2024; 19(12): 1769-1781. https://doi.org/10.1038/s41565-024-01753-8

[4]

Zhang X, Wei J, Jia H, et al. Pursuing extreme descriptive power and generality in chemical bond theories: a method to decipher “interatomic genomes” from interatomic electron structures. J Chem Theory Comput. 2024; 20(19): 8482-8493. https://doi.org/10.1021/acs.jctc.4c00557

[5]

Parijat P, Attili S, Hoare Z, Shattock M, Kenyon V, Kampourakis T. Discovery of a novel cardiac-specific myosin modulator using artificial intelligence-based virtual screening. Nat Commun. 2023; 14(1):7692. https://doi.org/10.1038/s41467-023-43538-y

[6]

Lazarovits J, Sindhwani S, Tavares AJ, et al. Supervised learning and mass spectrometry predicts the in vivo fate of nanomaterials. ACS Nano. 2019; 13(7): 8023-8034. https://doi.org/10.1021/acsnano.9b02774

[7]

Wu S, Kondo Y, Kakimoto M, et al. Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm. npj Comput Mater. 2019; 5(1): 66. https://doi.org/10.1038/s41524-019-0203-2

[8]

Chen H, Liu Y, Balabani S, Hirayama R, Huang J. Machine learning in predicting printable biomaterial formulations for direct ink writing. Research. 2023; 6:0197. https://doi.org/10.34133/research.0197

[9]

Peng B, Wei Y, Qin Y, et al. Machine learning-enabled constrained multi-objective design of architected materials. Nat Commun. 2023; 14(1):6630. https://doi.org/10.1038/s41467-023-42415-y

RIGHTS & PERMISSIONS

2025 The Author(s). Journal of Intelligent Medicine published by John Wiley & Sons Australia, Ltd on behalf of Tianjin University.

AI Summary AI Mindmap
PDF

4

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/