Papers

4

Total Citations

145

H-Index

4

About

Motoki Terada is a pioneering researcher at the intersection of robotics, artificial intelligence, and regenerative medicine, with a focus on automating and optimizing cell culture processes for therapeutic applications. His most celebrated contribution — the development of a robotic AI system employing batch Bayesian optimization to autonomously induce cellular differentiation — has garnered 96 citations since 2022, reflecting its transformative impact on a field where establishing optimal conditions traditionally requires years of expert experimentation. By removing the dependency on tacit knowledge and specialist skills, Terada's work directly addresses one of regenerative medicine's most persistent bottlenecks. His variable scheduling maintenance culture platform (2020, 28 citations) further demonstrates his commitment to scalable, reproducible cell production, tackling the education and skill barriers that hinder laboratory-to-clinic translation. Most recently, Terada extended these principles to clinical settings through a robotic cell-processing facility designed for retinal cell therapy research, underscoring the real-world therapeutic relevance of his engineering innovations. Across his body of work, Terada has consistently championed automation as a means to democratize high-quality cell production, making him an influential voice in the future of cell-based medicine and biomanufacturing.

Research Focus

Key Achievements

4
H-Index
4
Papers
145
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Robotic search for optimal cell culture in regenerative medicine
96 citations · 2022
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: RIKEN Center for Biosystems Dynamics Research, Kobe City Medical Center General Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago