This book provides simultaneously a design blueprint, user
guide, research agenda, and communication platform for current and
future developments in artificial intelligence (AI) approaches to
systems biology. It places an emphasis on the molecular dimension
of life phenomena and in one chapter on anatomical and functional
modeling of the brain.
As design blueprint, the book is intended for scientists and
other professionals tasked with developing and using AI
technologies in the context of life sciences research. As a user
guide, this volume addresses the requirements of researchers to
gain a basic understanding of key AI methodologies for life
sciences research. Its emphasis is not on an intricate mathematical
treatment of the presented AI methodologies. Instead, it aims at
providing the users with a clear understanding and practical
know-how of the methods. As a research agenda, the book is intended
for computer and life science students, teachers, researchers, and
managers who want to understand the state of the art of the
presented methodologies and the areas in which gaps in our
knowledge demand further research and development. Our aim was to
maintain the readability and accessibility of a textbook throughout
the chapters, rather than compiling a mere reference manual. The
book is also intended as a communication platform seeking to bride
the cultural and technological gap among key systems biology
disciplines. To support this function, contributors have adopted a
terminology and approach that appeal to audiences from different
backgrounds.
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