Artificial Intelligence for Drug Development Precision Medicine and Healthcare

<p><em>Artificial Intelligence for Drug Development Precision Medicine and Healthcare</em> covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research the book:</p><p>· Covers broad AI topics in drug development precision medicine and healthcare.</p><p>· Elaborates on supervised unsupervised reinforcement and evolutionary learning methods.</p><p>· Introduces the similarity principle and related AI methods for both big and small data problems.</p><p>· Offers a balance of statistical and algorithm-based approaches to AI.</p><p>· Provides examples and real-world applications with hands-on R code.</p><p>· Suggests the path forward for AI in medicine and artificial general intelligence<strong>.</strong></p><p>As well as covering the history of AI and the innovative ideas methodologies and software implementation of the field the book offers a comprehensive review of AI applications in medical sciences. In addition readers will benefit from hands on exercises with included R code.</p>