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The pharmaceutical industry is on the cusp of a revolution, and artificial intelligence (AI), machine learning, and data science are at the forefront of this transformation. The era of AI and machine learning is poised to revolutionize various disciplines and industries, and the pharmaceutical industry is no exception.
In the pharmaceutical industry, reducing costs and time is crucial, as producing a single approved drug costs millions and takes years of rigorous testing prior to its approval. This is where AI, machine learning, and data science come into play, offering promising solutions to improve the drug discovery process.
This comprehensive resource follows the journey of a drug company, from the initial stages of research to the ultimate benefit of improving a patient’s life. Written by industry experts, this book provides valuable insights into the role of AI, machine learning, and data science in the pharmaceutical industry.
The book delves into the prediction of toxic effects, reducing costs in testing compounds, and the use of AI in animal research. It also highlights the need for improvement in these areas, providing a roadmap for future innovation.
Targeting materials from different disciplines, this book creates a complete guide for those working in chemical biology, computational chemistry, medicinal chemistry, and bioinformatics. By demonstrating the techniques and applications of AI, machine learning, and data science, this book serves as a valuable resource for professionals and researchers alike.
Get ready to unlock the potential of AI, machine learning, and data science in the pharmaceutical industry. With this comprehensive resource, you’ll gain a deeper understanding of the techniques and applications that are revolutionizing the drug discovery process.
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