Drug Discovery and Telemedicine: Through Artificial Intelligence, Computer Vision, and IoT 2025
Drug Discovery and Telemedicine: Through Artificial Intelligence, Computer Vision, and IoT book pdf download. At its core, the book delves into the intricate ways in which AI and machine learning algorithms are being harnessed to streamline the drug development process, from initial discovery through to clinical trials, and how these technologies are concurrently revolutionizing the delivery of healthcare services via telemedicine.
Specific focus areas include the application of deep learning in identifying novel drug candidates, AI-driven predictive models for pharmacokinetics and pharmacodynamics, automation in laboratory research, and the integration of AI in diagnostic processes, personalized medicine, and patient monitoring systems. Each chapter not only explores current state-of-the-art methodologies and case studies but also critically examines challenges, such as data privacy, ethical considerations, and the need for robust, interpretable models that can be trusted by healthcare professionals and patients alike.
In conclusion, this book stands as an essential compendium for specialists seeking to navigate the complexities and harness the opportunities presented by AI in the pharmaceutical and healthcare industries. It offers a critical, in-depth exploration of the transformative impact of AI technologies, underscoring their relevance and potential to dramatically enhance drug discovery and telemedicine practices. This publication not only equips its target audience with the knowledge to lead innovation in their fields but also engages with the broader ethical, social, and practical implications of AI, making it an invaluable resource for advancing towards more effective, efficient, and accessible healthcare solutions.
eBook details
- Author (s): Saurav Mallik, Zubair Rahamanm, Soumita Seth
- Publication year: 2025
- Publisher: De Gruyter
- Language: English
- ISBN: 3111503984, 9783111503981, 9783111504667, 9783111504766
- Pages: 282
- Book format: PDF
- File size: 4 MB
