Author(s): David Henry
Bioprocess manipulates and optimizationare imperative for tapping the metabolic practicable of microorganisms, and which have made exceptional growth in the previous decades. Combination of the modern-day manage and optimization applied sciences with the state-of-the-art computer-based techniques will be a well worth awaiting way to enhance bioprocess further. Recently, synthetic talent (AI) emerged as a data-driven approach unbiased of the complicated interactions used in mathematical fashions and has been pro gressively utilized in bioprocess. In this review, firstly, AI-guided modeling procedures of bioprocess are discussed, which are extensively utilized to optimize fundamental method parameters (CPPs).
