Data Science and Medical Informatics in Healthcare Technologies, 1st ed. 2021 SpringerBriefs in Forensic and Medical Bioinformatics Series

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

·         How is artificial intelligence changing drug discovery ?

·        Data science and  healthcare transformation

·        Machine Learning in Drug Discovery

·         Cross-referencing research data: Speeds drug development and lowers clinical trials cost

·         Big data in drug discovery

·         Use of big data in drug development for precision medicine

·         Predictive medicine: prognosis and diagnostic accuracy

·         Data Science In Stratified Healthcare And Precision Medicine

·         Next generation solution for drug discovery

·         Disease diagnosis using data visualization

·         Genomics in drug discovery and development

·         Understand the statistical significance of clinical studies

Nguyen Thi Dieu Linh, PhD, is Dy. Head of Science and Technology Department, Hanoi University of Industry, Hanoi, Vietnam (HaUI). She has more than 19 years of academic experience in electronics, IoT, smart gardens, and telecommunication. She received her Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, Harbin, China, in 2013. She is Chair of the International Conference of Intelligent System and Network. She has edited book titles “Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches” and “Distributed Artificial Intelligence: A Modern Approach” by T&F. She serves as an Editorial Board Member of several journals. She has chaired many technical events in different universities in Viet Nam.

Highlights recent advances in the area of data science, bioinformatics, and genomics presenting its applications to healthcare

Addresses the gap between the medication and treatment in the current preventive medicinal and pharmaceutical system

Presents the automated processes for analyzing data in clinical trial research, specifically for drug development