Data Driven Reproductive Health
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Data-Driven Reproductive Health
This book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an up-to-date view of the reproductive healthcare landscape. With more than 20 code-based examples, the book decodes complex biological data using bioinformatics and machine learning and provides valuable insights into fertility, genetic disorders, and personalized medicine. This book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.
ASA 2022 Data-Driven Decision Making
Author: Enrico di Bella
language: en
Publisher: Firenze University Press
Release Date: 2023-07-04
This volume collects the contributions presented at the conference “Data-driven Decision Making” organized by the Italian Association for Applied Statistics, held in Genoa from 12 to 14 September 2022. The papers cover a broad range of topics, with a common thread: the use of statistical methods to support decision-making both in public administrations and in private companies.
Innovations in Animal Reproduction and Genetics for Veterinary Applications
Author: Mohammad Sabri Jawad
language: en
Publisher: RK Publication
Release Date: 2025-02-14
Innovations in Animal Reproduction and Genetics for Veterinary Applications cutting-edge advancements in reproductive technologies and genetic engineering in veterinary science. It as artificial insemination, in vitro fertilization, cloning, and gene editing, highlighting their impact on livestock improvement, conservation, and disease resistance. The examines ethical considerations and future prospects in animal biotechnology. Designed for veterinarians, researchers, and students, it provides a comprehensive understanding of how modern genetic and reproductive innovations are transforming animal health, productivity, and breeding practices.