data science

Introduction Leading pharmaceutical companies, start-ups, and researchers are incorporating Data Science, machine learning (ML) and artificial intelligence (AI) into research and development to analyze large amounts of data, find patterns, and create algorithms to explain them. With less human involvement, AI is getting better at problem-solving, predictive analytics, and innovation. Hence, AI has the potential to bring R&D scale processes to the industrial scale for biopharmaceuticals while also ensuring patient safety. Finding patterns in data and creating new datasets after using the various techniques as information is directly related to machine learning (ML). The information will be taken into consideration for improvements in the pharmaceutical industry's production of drugs and vaccines, as well as being taken into consideration as a helpful input by scientists for the development, testing, and safety aspect of novel vaccines and drug molecules. Data Science and AI in P...