Assessing Biomaterial‐Induced Stem Cell Lineage Fate by Machine Learning‐Based Artificial Intelligence (Adv. Mater. 19/2023)

Stem Cell Lineage Fate Highly accurate, efficient, and convenient evaluation for biomaterial-induced stem cell lineage fate is pivotal for regenerative biomaterials research. In article number 2210637, Binbin Lai, Xuehui Zhang, Xuliang Deng, and co-workers report MeD-P, a machine-learning-supported intelligent evaluation model, for predicting human mesenchymal stem cell–biomaterial interaction based on RNA-seq data. This framework shows the potential of artificial intelligence in facilitating biological performance optimization of biomaterials in stem cell lineage fate regulation.