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TeraCyte Analytics generates a new class of dynamic, functional biological data at scale and builds AI models to turn it into predictive intelligence. Our proprietary Temporal Cytometry™ platform measures the phenotypic characteristics of individual living cells over time, capturing how they change and respond. Combining silicon imaging arrays, live-cell imaging, and AI, we reveal cellular patterns and small, previously invisible subsets that can hold important clues to biological outcomes. We transform these measurements into BioTokens™- compact mathematical representations that make large-scale cellular data suitable for AI model training. Our primary focus is immunology, where we are developing models to support treatment selection, disease monitoring, and drug development. Our platform also supports bioproduction applications, including predicting cell-line stability and performance. Working with clinical, academic, and pharmaceutical collaborators, we are building the datasets and validating the models needed to translate dynamic cellular data into practical insights. Our mission: turn the behavior of living cells into predictive intelligence that helps improve patient outcomes, accelerate better therapies, and deepen our understanding of biology.

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Yoav Nissan-Cohen is the Co-Founder, chairman and CEO of TeraCyte Analytics.

15 people are employed at TeraCyte Analytics.

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