Digital Pharmaceutical Sciences

Autor: Safa A. Damiati
Jazyk: angličtina
Rok vydání: 2020
Předmět:
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19)
Computer science
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Chemistry
Pharmaceutical
Pharmacology toxicology
Pharmaceutical Science
02 engineering and technology
Review Article
Aquatic Science
030226 pharmacology & pharmacy
pharmaceutical industry
Machine Learning
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Drug Discovery
Pharmaceutical sciences
Ecology
Evolution
Behavior and Systematics
Pharmaceutical industry
Ecology
Artificial neural network
Management science
business.industry
pharmaceutical sciences
General Medicine
021001 nanoscience & nanotechnology
Drug Design
Neural Networks
Computer
0210 nano-technology
business
Agronomy and Crop Science
artificial neural networks
Algorithms
Zdroj: AAPS PharmSciTech
ISSN: 1530-9932
Popis: Artificial intelligence (AI) and machine learning, in particular, have gained significant interest in many fields, including pharmaceutical sciences. The enormous growth of data from several sources, the recent advances in various analytical tools, and the continuous developments in machine learning algorithms have resulted in a rapid increase in new machine learning applications in different areas of pharmaceutical sciences. This review summarizes the past, present, and potential future impacts of machine learning technologies on different areas of pharmaceutical sciences, including drug design and discovery, preformulation, and formulation. The machine learning methods commonly used in pharmaceutical sciences are discussed, with a specific emphasis on artificial neural networks due to their capability to model the nonlinear relationships that are commonly encountered in pharmaceutical research. AI and machine learning technologies in common day-to-day pharma needs as well as industrial and regulatory insights are reviewed. Beyond traditional potentials of implementing digital technologies using machine learning in the development of more efficient, fast, and economical solutions in pharmaceutical sciences are also discussed.
Databáze: OpenAIRE
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