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Full Description
Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.
Features:
Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.
Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.
Summarizes several strategies, analyses, and optimization methods for patient healthcare.
Focuses on drug discovery and development by cloud computing and data-driven research
The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.
Contents
Chapter 1: The Role of Bioinformatics Tools and Technologies in Clinical Trials. Chapter 2: Bioinformatics Tools and Software in Clinical Research. Chapter 3: Computational Biology for Clinical Research. Chapter 4: Issues and Challenges Related to Clinical Bioinformatics Tools for Clinical Research. Chapter 5: Artificial Intelligence: An Emerging Technique in Pharmaceutical and Healthcare Systems. Chapter 6: Artificial Intelligence in Healthcare and Its Application in Brain Stroke Diagnosis. Chapter 7: Computational Cloud Infrastructure for Patient Care. Chapter 8: Advancement in Gene Delivery: The Role of Bioinformatics. Chapter 9: Drug Development Using Cloud Application. Chapter 10: Cloud Application in Drug Development. Chapter 11: Framework for Handling Medical Data in Research.
