biostudies-literatureUnknown27Scheurer FHuman induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) are an important resource for identifying novel therapeutic targets and cardioprotective drugs. However, a key limitation of iPSC-CMs is their immature, fetal-like phenotype. Cultivation of iPSC-CMs in lipid-supplemented maturation media (MM) enhances the structural, metabolic and electrophysiological properties of iPSC-CMs. Nevertheless, they face substantial limitations as there are labor-intensive, time consuming and go in line with cell damage or loss of the sample. To address this issue, we have developed a non-invasive approach for automated classification of iPSC-CM maturity through interpretable artificial intelligence (AI)-based analysis of beat characteristics derived from video-based motion analysis. In a prosComputational and structural biotechnology journal3719-3728https://www.ebi.ac.uk/biostudies/studies/S-EPMC12409467biostudies-literatureNon-invasive maturity assessment of iPSC-CMs based on optical maturity characteristics using interpretable AI.PMC12409467Guan KSonntag FSchmidt MSchubert MHammer ASteiner RPGamm OScheurer FMalberg HfalseNon-invasive maturity assessment of iPSC-CMs based on optical maturity characteristics using interpretable AI.Human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) are an important resource for identifying novel therapeutic targets and cardioprotective drugs. However, a key limitation of iPSC-CMs is their immature, fetal-like phenotype. Cultivation of iPSC-CMs in lipid-supplemented maturation media (MM) enhances the structural, metabolic and electrophysiological properties of iPSC-CMs. Nevertheless, they face substantial limitations as there are labor-intensive, time consuming and go in line with cell damage or loss of the sample. To address this issue, we have developed a non-invasive approach for automated classification of iPSC-CM maturity through interpretable artificial intelligence (AI)-based analysis of beat characteristics derived from video-based motion analysis. In a pros2025-01-01T00:00:00Z20252026-06-03T07:06:18.635Z2026-05-29T03:05:29.96ZS-EPMC124094674091798510.1016/j.csbj.2025.08.024