Systems Biology and Machine Learning Methods in Reproductive Health

• Author(s): Abhishek Sengupta, Priyanka Narad, Dinesh Gupta, Deepak Modi,
• Publisher: CRC Press
• Pages: 196
• ISBN_10: 1040269664
  ISBN_13: 9781040269664
  
• Language: en
• Categories: Computers / Data Science / Machine Learning , Medical / Reproductive Medicine & Technology , Science / Life Sciences / Genetics & Genomics , Science / Chemistry / Computational & Molecular Modeling , Science / Life Sciences / Molecular Biology , Computers / Artificial Intelligence / Computer Vision & Pattern Recognition , Computers / Data Science / Neural Networks , Science / Life Sciences / Biochemistry , Science / Life Sciences / Biophysics , Science / Life Sciences / Biology , Technology & Engineering / Automation , Computers / Software Development & Engineering / Systems Analysis & Design , Computers / Artificial Intelligence / General ,

Description:... Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.