In the pharmaceutical and consumer health industries, artificial intelligence and machine learning played an important role. These technologies are critical for the identification of patients with improved intelligence applications, such as disease detection and diagnostics for clinical testing, for medicine production and predictive forecasts. In recent years, advances in numerous analysis tools and machine learning algorithms have led to novel applications for machine learning in several areas of pharmaceutical science. This paper examines the past, present, and future impacts of machine learning on several areas, including medicine design and discovery. Artificial neural networks are employed in pharmaceutical machine learning because they can reproduce nonlinear interactions typical in pharmaceutical research. AI and learning machines are examined in everyday pharmaceutical needs, industrial and regulatory insights.

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Software reuse is helps to maintain the software and reduce much time in delivering, and cost and also improve quality. Most organization is considering software reuse is the crucial task and lot of algorithm is used for maintaining the software. The efficient management of monitoring data is essential for many software industries. The evolutionary test generation's development in the recent years helps to test most of Object Oriented Program (OOP). In this method, Cuckoo Search Back Propagation Neural Network (CSBP) facilitates Class Responsibility Assignment in the software. The Cinema Booking System (CBS) is used to evaluate the function of the proposed system and existing system. Cuckoo Search (CS) algorithm find best solution for the class arrangement and Back Propagation Neural Network (BPNN) analyze best solution in backward direction. The proposed method gives better result than the existing technique used in the OOP for software reuse. The parameters evaluated from the techniques are Cohesion, Complexity, Cost function and Coupling. The cohesion value is the measure of element in the software belongs together and value of cohesion in proposed method is achieved up to 0.5862.