Ranjith Rajamanickam, Amit Sharma, Dhivya Ranjith, J. Paulo Davim
Sērija : Advanced Mechanical Engineering
(Izdošanas datums: 01-Sep-2025, Hardback, Izdevniecība: De Gruyter, ISBN-13: 9783111503189)
Machine Learning for Medical Applications Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critic...Lasīt vairāk
To arrive at the most appropriate decision regarding patient management, an essential step for medical practitioners is to determine a correct and accurate diagnosis of the patients condition. In recent years there have been significant technolog...Lasīt vairāk
This volume reviews the use of machine learning (ML) to predict antibiotic resistance in pathogens based on gene content and genome composition as data sets comprising hundreds or thousands of pathogen genomes become available. One of the main goa...Lasīt vairāk
Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques is an essential guide for professionals, researchers, and students in the pharmaceutical and biotech industries, providing an in-depth look at how computational methods tran...Lasīt vairāk
This book aims to demonstrate how artificial intelligence (AI) can revolutionize the fight against antimicrobial resistance (AMR). By showcasing cutting-edge AI methodologies and successful applications, the book seeks to inspire innovation and cros...Lasīt vairāk
In the realm of pharmaceutical research, the challenge of efficiently discovering and designing new drugs to combat diseases is ever-present. Traditional approaches to drug discovery often rely on time-consuming and costly experimental methods, lead...Lasīt vairāk
(Izdošanas datums: 05-Feb-2025, Paperback / softback, Izdevniecība: Medical Information Science Reference, ISBN-13: 9798369356029)
This book endeavours to offer an in-depth understanding of molecular modelling and docking strategies in drug discovery and design-- Provided by publisher....Lasīt vairāk
(Izdošanas datums: 05-Feb-2025, Multiple-component retail product, Izdevniecība: Medical Information Science Reference, ISBN-13: 9798369356012)
In the realm of pharmaceutical research, the challenge of efficiently discovering and designing new drugs to combat diseases is ever-present. Traditional approaches to drug discovery often rely on time-consuming and costly experimental methods, lead...Lasīt vairāk
This book focuses on the latest advances in computational de novo drug discovery methods, also known as generative drug discovery. This book describes the state-of-the-art methods and applications for de novo design of drug candidates using...Lasīt vairāk
This book describes the state-of-the-art of chemoinformatics, bioinformatics, materials informatics and measurement/metrology informatics to develop drugs with desired activity or physicochemical properties and to optimize the functionality, effic...Lasīt vairāk
Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinical and postapproval phases. This book gives methods for each of the d...Lasīt vairāk
This contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, da...Lasīt vairāk
(Izdošanas datums: 14-Sep-2023, Hardback, Izdevniecība: Springer-Verlag New York Inc., ISBN-13: 9781071634486)
This volume explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. The first section collects CDD approaches that, together with HPC, can revolutionize and automate drug discov...Lasīt vairāk
This contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, da...Lasīt vairāk
(Izdošanas datums: 01-Jul-2023, Hardback, Izdevniecība: Springer-Verlag New York Inc., ISBN-13: 9781071633106)
This second edition volume expands on the previous edition with updated descriptions on different computational methods encompassing ligand-based, structure-based, and combined approaches with their recent applications in anti-Alzheimer drug des...Lasīt vairāk
