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Deep Learning for Targeted Treatments, authored by Rishabha Malviya, is a groundbreaking book that explores the role of deep learning in revolutionizing healthcare management. It delves into the importance of the deep learning framework for patient care, disease imaging, and detection, as well as health management.
Deep learning, a subset of machine learning, is a powerful tool that has the potential to transform healthcare by providing insights that can lead to better patient outcomes. It can analyze vast amounts of data, identify patterns, and make predictions, making it an essential tool for targeted treatments.
The book focuses on leveraging the deep learning framework for targeted therapy of various diseases. It discusses how deep learning can control drug delivery to targeted tissues or organs, thereby improving treatment outcomes and reducing side effects.
Deep learning is not just a theoretical concept; it has significant industrial implications. It is being widely implemented in pharmaceutical healthcare to improve drug development, streamline clinical trials, and enhance patient care.
Deep Learning for Targeted Treatments is an invaluable resource for researchers, clinicians, and professionals working in the areas of clinical research, disease management, pharmaceuticals, R&D formulation, deep learning analytics, remote healthcare management, healthcare analytics, and deep learning in the healthcare industry.
This book provides a comprehensive overview of the role of deep learning in healthcare, highlighting its potential to improve patient care, streamline treatment processes, and enhance health management. It serves as a direction for future research in deep learning, particularly in terms of its role in targeted treatments, biological systems, site-specific drug delivery, risk assessment in therapy, and more.
Deep Learning for Targeted Treatments was published by Wiley on September 8, 2022. It is available in English and has ISBNs 9781119857327 and 9781119857976.
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