تحسين النتائح
ترتيب حسب
من
الى
الصفحة 1
الصفحة 1
Clinical biochemistry and drug development : From fundamentals to output
Focuses on clinical biochemistry fundamentals, cell culture techniques, and drug discovery and development concepts. It deals with three different fields of clinical research: cell culture, clinical biochemistry, and drug discovery and development.
Botanical drug products : Recent developments and market trends
Botanicals, which have been part of human food and medicine for thousands of years, are perceived as being safer than synthetic pharmaceuticals. The global botanical drug market was expected to reach $26.6 billion by 2017. In terms of FDA regulations, botanical drugs are no different from non-botanical products, having to meet the safety and effectiveness standards of a new drug in accordance. This book comprises a complete start-to-end process from drug-idea conception, to drug development process.
Basic principles of drug discovery and development ; 2nd ed.
Presents the multifaceted process of identifying a new drug in the modern era, which requires a multidisciplinary team approach with input from medicinal chemists, biologists, pharmacologists, drug metabolism experts, toxicologists, clinicians, and a host of experts from numerous additional fields. Enabling technologies such as high throughput screening, structure-based drug design, molecular modeling, pharmaceutical profiling, and translational medicine are critical to the successful development of marketable therapeutics. Given the wide range of disciplines and techniques that are required for cutting edge drug discovery and development, a scientist must master their own fields as well as have a fundamental understanding of their collaborator’s fields.
Antiviral drug discovery and development
Summarizes antiviral drug design and discovery approaches Provides the latest update in the field of antiviral therapeutics Includes antiviral research of coronaviruses
Animal Models of T Cell-Mediated Skin Diseases
Pharmaceutical companies are spending increasing amounts of money on drug discovery and development. Nevertheless, attrition rates in clinical development are still very high, and up to 90% of new compounds fail in clinical phase I - III trials, which is partially due to lack of clinical efficacy. This indicates a strong need for highly predictive in vitro and in vivo models. The "50th International Workshop of the Ernst Schering Research Foundation" focussed on "Animal Models of T Cell-Mediated Skin Diseases". Such animal models should have impact not only on inflammatory dermatoses but also on other inflammatory disorders due to their model character. The current volume summarises recent advances in animal research that are important for anti-inflammatory drug discovery.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
