AI-POWERED ADVANCES IN PHARMACOLOGY. - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-POWERED ADVANCES IN PHARMACOLOGY. write by . This book was released on 2024. AI-POWERED ADVANCES IN PHARMACOLOGY. available in PDF, EPUB and Kindle.
AI-Powered Advances in Pharmacology
AI-Powered Advances in Pharmacology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Powered Advances in Pharmacology write by Shaik, Aminabee. This book was released on 2024-09-14. AI-Powered Advances in Pharmacology available in PDF, EPUB and Kindle. In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine. The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology.
Data Science, AI, and Machine Learning in Drug Development
Data Science, AI, and Machine Learning in Drug Development - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science, AI, and Machine Learning in Drug Development write by Harry Yang. This book was released on 2022-10-04. Data Science, AI, and Machine Learning in Drug Development available in PDF, EPUB and Kindle. The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise
Artificial Intelligence in Drug Discovery
Artificial Intelligence in Drug Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence in Drug Discovery write by Nathan Brown. This book was released on 2020-11-04. Artificial Intelligence in Drug Discovery available in PDF, EPUB and Kindle. Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
A Handbook of Artificial Intelligence in Drug Delivery
A Handbook of Artificial Intelligence in Drug Delivery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Handbook of Artificial Intelligence in Drug Delivery write by Anil K. Philip. This book was released on 2023-03-31. A Handbook of Artificial Intelligence in Drug Delivery available in PDF, EPUB and Kindle. A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more. This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies. Focuses on the use of Artificial Intelligence in drug delivery strategies and future impacts Provides insights into how artificial intelligence can be effectively used for the development of advanced drug delivery systems Written by experts in the field of advanced drug delivery systems and digital health
