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Applied Case Studies and Solutions in Molecular Docking-Based Drug Design
As the pharmaceutical industry continues to advance, new techniques in drug design are emerging. In order to deliver optimum care to patients, the development of innovative pharmacological techniques has become a widely studied topic. Applied Case Studies and Solutions in Molecular Docking-Based Drug Design is a pivotal reference source for the latest scholarly research on the progress of pharmaceutical design and computational approaches in the field of molecular docking. Highlighting innovative research perspectives and real-world applications, this book is ideally designed for professionals, researchers, practitioners, and medical chemists actively involved in computational chemistry and pharmaceutical sciences.
Oncology: Breakthroughs in Research and Practice
Advancements in cancer diagnosis and treatment have extended the lives of many patients facing numerous types of cancer over the years. Research on best practices, new drug development, early identification, and treatment continues to advance with the ultimate goal of uncovering a cure for cancer in all its forms. Oncology: Breakthroughs in Research and Practice features international perspectives on cancer identification, treatment, and management methodologies in addition to patient considerations and outlooks for the future. This collection of emerging research provides valuable insight for researchers, graduate-level students, and professionals in the medical field.
Methods and Algorithms for Molecular Docking-Based Drug Design and Discovery
The role of technology in the medical field has resulted in significant developments within the pharmaceutical industry. Computational approaches have emerged as a crucial method in further advancing drug design and development. Methods and Algorithms for Molecular Docking-Based Drug Design and Discovery presents emerging research on the application of computer-assisted design methods for drugs, emphasizing the benefits and improvements that molecular docking has caused within the pharmaceutical industry. Focusing on validation methods, search algorithms, and scoring functions, this book is a pivotal resource for professionals, researchers, students, and practitioners in the field of theoretical and computational chemistry.
Pattern and Data Analysis in Healthcare Settings
Business and medical professionals rely on large data sets to identify trends or other knowledge that can be gleaned from the collection of it. New technologies concentrate on data’s management, but do not facilitate users’ extraction of meaningful outcomes. Pattern and Data Analysis in Healthcare Settings investigates the approaches to shift computing from analysis on-demand to knowledge on-demand. By providing innovative tactics to apply data and pattern analysis, these practices are optimized into pragmatic sources of knowledge for healthcare professionals. This publication is an exhaustive source for policy makers, developers, business professionals, healthcare providers, and graduate students concerned with data retrieval and analysis.
Novel Approaches for Drug Delivery
Providing optimal care to patients is a primary concern in the healthcare field. By utilizing the latest resources and research in biomedical applications, the needs and expectations of patients can be successfully exceeded. Novel Approaches for Drug Delivery is an authoritative reference source for the latest scholarly research on emerging developments within the pharmaceutical industry, examining the current state and future directions of drug delivery systems. Highlighting therapeutic applications, predictive toxicology, and risk assessment perspectives, this book is ideally designed for medical practitioners, pharmacists, graduate-level students, scientists, and researchers.
Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment
Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.
Recent Advances in Drug Delivery Technology
Technological innovations have become the impetus for continuous developments in medical research. With the assistance of new technologies, effective drug delivery techniques have been improved for optimal patient care. Recent Advances in Drug Delivery Technology is a pivotal reference source for the latest scholarly research on the application of pharmaceutical technology to optimize techniques for drug delivery in patients. Focusing on novel approaches in pharmaceutical science, this book is ideally designed for medical practitioners, upper-level students, scientists, and researchers.
Pharmaceutical Sciences: Breakthroughs in Research and Practice
The delivery of optimal pharmaceutical services to patients is a pivotal concern in the healthcare field. By examining current trends and techniques in the industry, processes can be maintained and improved. Pharmaceutical Sciences: Breakthroughs in Research and Practice provides comprehensive coverage of the latest innovations and advancements for pharmaceutical applications. Focusing on emerging drug development techniques and drug delivery for improved health outcomes, this book is ideally designed for medical professionals, pharmacists, researchers, academics, and upper-level students within the growing pharmaceutical industry.
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.
Oncology
Features international perspectives on cancer identification, treatment, and management methodologies in addition to patient considerations and outlooks for the future. This collection of emerging research provides valuable insight for researchers, graduate-level students, and professionals in the medical field.
