NTT Develops New Technology to Back-Calculate Tissue Formation from Cell Arrangement

NTT Corporation has developed a machine learning-based 'Inverse Surrogate Model' to estimate cellular interactions from established tissue structures. By employing multi-scale feature extraction based on persistent homology, this technology enables rapid estimation in seconds, compared to the hours required by traditional methods. This advancement is a key component of NTT's 'Bio Digital Twin' project, with potential applications in understanding organ development and improving the structural control of iPS-derived organoids for regenerative medicine.