Harnessing the power of machine learning into tissue engineering: current progress and future prospects
Yiyang Wu, Xiaotong Ding, Yiwei Wang, Defang Ouyang · 2024
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Description
Yiyang Wu and co-authors review how machine learning is being used to grow and repair body tissues in the lab, in work published in 2024. Tissue work joins cell science and materials science to rebuild lost or damaged parts. It has grown fast, but slow production, high cost, and uneven growth remain problems.
Learning models can search large data sets for patterns that speed up design and testing. The review covers uses in material design, scaffold making, tissue regrowth, and organ transplant work. The authors also discuss what blocks wider use, such as data quality and teamwork across fields. They aim to give researchers a clear map of where the two fields meet.
Catalog record
| CREATOR | Yiyang Wu, Xiaotong Ding, Yiwei Wang, Defang Ouyang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |