This white paper outlines how Thermo Fisher Scientific’s Key Driver Identification (KDI) program improves consistency in bioprocessing by identifying media and supplement components that significantly affect performance. It highlights variability sources in chemically defined and peptone-based media, emphasizing trace impurities’ impact on yield and quality. Using statistical modeling, predictive analytics, and a phased validation process, KDI pinpoints optimal component ranges. Case studies show targeted adjustments can boost production (up to 40%) with minimal quality trade-offs, enabling more predictable, high-quality biopharmaceutical output.

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