Machine Learning Process for Synthesizing Optimum Amount of Pharmaceuticals Ingredients

A methodical way of conducting chemical reaction is always treated as complex, time consuming and laborious process. Flow technology for preparation of chemical products like Active Pharmaceutical Ingredient's (APIs) is quite popular in pharmaceuticals industries. Adaptation of flow technology is associated with knowledge and usage of various complex algorithms that are often studied under the area of engineering. Another factor that plays a critical role in flow technology is time duration that is required to flow. In this paper, authors addressed the above stated issue by providing an exposure into the various research works that are carried out in the context of flow technology specific to usage of machine learning and algorithm optimization. A general outlook about how the algorithm-based design of experiment is studied in closed loop optimizer, where the algorithm is combined with continuous reaction system. Authors also provide a review on few of the techniques that has served prominence in this context.

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