Advances in artificial intelligence-based technologies for increasing the quality of medical products.

Autor:	Srivastava, Nidhi, Verma, Sneha, Singh, Anupama, Shukla, Pranki, Singh, Yashvardhan, Oza, Ankit D., Kaur, Tanvir, Chowdhury, Sohini, Kapoor, Monit, Yadav, Ajar Nath
Předmět:	PHARMACOLOGY CLINICAL drug trials PHARMACEUTICAL technology GENOMICS ARTIFICIAL intelligence PHARMACEUTICAL chemistry INVESTIGATIONAL drugs CLINICAL decision support systems EVALUATION of medical care ECONOMICS PHARMACEUTICAL industry BIOINFORMATICS DRUG monitoring DEEP learning DRUG interactions DRUG development QUALITY assurance MACHINE learning HEALTH care industry INDIVIDUALIZED medicine FORECASTING ALGORITHMS
Zdroj:	DARU: Journal of Pharmaceutical Sciences; 11/30/2024, Vol. 33 Issue 1, p1-21, 21p
Abstrakt:	Artificial intelligence (AI) is a technology that combines machine learning (ML) and deep learning. It has numerous usages in the domains of medicine and other sciences. Artificial intelligence can forecast the behavior of a drug's target protein and predict its desired physicochemical qualities. AI's potential to enhance healthcare services offerings formerly unheard-of opportunities for cost reserves, enhanced overall clinical and patient outcomes. The recent development of research in the biomedical field, encompassing fields such as genomics, computational medicine, AI, and algorithms for learning, has led to the demand for novel technology, a fresh workforce, and new standards of practice set the stage for the revolution in healthcare. By connecting these health statistics with cutting-edge AI technologies, precise insights into patient treatment can be obtained. Moreover, AI can aid in the search for new drugs by foretelling the target protein's two-dimensional structure. In the current review, an overview of the latest AI-based technologies and how they may be employed to reduce product development time to market and snowballing product quality, cost-effectiveness, as well as security throughout the manufacturing process is detailed. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.