CBE Seminar Series: Zhen Ma

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Zhen Ma Associate Professor Department of Biomedial and Chemical Engineering Syracuse University

At the crossroads of new approach methodologies and artificial intelligence

Zhen Ma Portrait

The convergence of artificial intelligence (AI) and human induced pluripotent stem cell (hiPSC) platforms is redefining in vitro biological models. Advances in hiPSC-derived three-dimensional cardiac organoids, engineered heart tissues, and heart-on-chip systems have improved physiological relevance but generate high-dimensional, multimodal datasets that exceed the capacity of traditional analytical approaches. In this seminar, I will discuss how emerging computational approaches, including machine learning, deep learning, and generative AI, can unlock the full potential of engineered cardiac models. By integrating AI with in vitro cardiac models, we demonstrate how data-driven approaches can enable scalable quality control, reveal subtle disease phenotypes, and guide rational model design. Together, these advances position AI as a powerful co-pilot in cardiac research, accelerating cardiotoxicity screening, improving disease modeling, and informing the next generation of intelligent cardiac organoids.

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