Deep Learning For Targeted Treatments

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Deep Learning For Targeted Treatments

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Author : Rishabha Malviya
language : en
Publisher: John Wiley & Sons
Release Date : 2022-09-20

Deep Learning For Targeted Treatments written by Rishabha Malviya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-20 with Computers categories.

DEEP LEARNING FOR TREATMENTS The book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc. Deep Learning for Targeted Treatments describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient’s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. Audience The book will be immensely interesting and useful to researchers and those 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.

Deep Learning For Targeted Treatments

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Author : Rishabha Malviya
language : en
Publisher: John Wiley & Sons
Release Date : 2022-10-11

Deep Learning For Targeted Treatments written by Rishabha Malviya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Computers categories.

DEEP LEARNING FOR TREATMENTS The book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc. Deep Learning for Targeted Treatments describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient’s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. Audience The book will be immensely interesting and useful to researchers and those 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.

Artificial Intelligence In Iot And Cyborgization

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Author : Rajesh Kumar Dhanaraj
language : en
Publisher: Springer Nature
Release Date : 2023-09-29

Artificial Intelligence In Iot And Cyborgization written by Rajesh Kumar Dhanaraj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Technology & Engineering categories.

This book introduces the concept of combining artificial intelligence (AI) and Internet of things (IoT) with real human organs to form a cybernetic organism or cyborg. It is a concept of man–machine mixture which helps in restoring or enhancing the ability of a body part by integrating some technology or artificial component with that body part. These smart artificial organs act as a substitute for real organs having various capabilities like scanning the body, detecting and transmitting the diagnostic data to machines. For example, an artificial heart is capable of monitoring the overall health of a person, and lungs can inform the doctor of abnormalities. This book benefits academic researchers and industrialist who work in the field cyborgization and IoT within human bodies.

Next Generation Drug Delivery Systems

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Author : Abhishek Pathak
language : en
Publisher: Springer Nature
Release Date : 2025-05-12

Next Generation Drug Delivery Systems written by Abhishek Pathak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Science categories.

This book provides a detailed yet accessible guide to emerging trends in drug delivery systems. Topics encompass a wide range of delivery mechanisms, including nanotechnology-based carriers, controlled-release formulations, targeted delivery systems, and biologics, with a focus on their role in improving therapeutic outcomes. Emphasis has also been placed on regulatory challenges, translational research, and the integration of artificial intelligence in designing advanced drug delivery systems. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of specificity and expert implementation advice to ensure success in the lab. Comprehensive and practical, Next-Generation Drug Delivery Systems serves as an ideal guide to how innovative drug delivery approaches can address critical challenges, such as enhancing bioavailability, reducing side effects, and achieving precise drug targeting.

Machine Learning In Radiation Oncology

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Author : Issam El Naqa
language : en
Publisher: Springer
Release Date : 2015-06-19

Machine Learning In Radiation Oncology written by Issam El Naqa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-19 with Medical categories.

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Precision Medicine And Artificial Intelligence

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Author : Michael Mahler
language : en
Publisher: Elsevier
Release Date : 2021-03-17

Precision Medicine And Artificial Intelligence written by Michael Mahler and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Medical categories.

Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine

Beyond The Stethoscope How Artificial Intelligence Is Redefining Diagnosis Treatment And Patient Care In The 21st Century

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Author : Venkata Krishna Azith Teja Ganti
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-13

Beyond The Stethoscope How Artificial Intelligence Is Redefining Diagnosis Treatment And Patient Care In The 21st Century written by Venkata Krishna Azith Teja Ganti and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-13 with Computers categories.

The 21st century has ushered in a paradigm shift in medicine—one where algorithms, data, and intelligent systems are becoming as vital to healthcare as the stethoscope once was. Beyond the Stethoscope delves into this transformative journey, exploring how Artificial Intelligence (AI) is redefining diagnosis, treatment, and patient care in ways once considered the realm of science fiction. AI is no longer a distant concept confined to research labs; it is actively shaping clinical decision-making, enhancing diagnostic accuracy, personalizing treatment plans, streamlining hospital operations, and even predicting patient outcomes. From radiology to pathology, mental health to chronic disease management, AI is proving to be an indispensable tool, augmenting the capabilities of healthcare professionals while empowering patients to take a more active role in their own well-being. This book aims to provide a comprehensive overview of how AI is being integrated into every facet of modern medicine. It addresses not only the technical innovations—such as deep learning, natural language processing, and predictive analytics—but also the human aspects: the changing role of the physician, the evolving patient experience, and the ethical dilemmas that come with delegating critical decisions to machines. Whether you're a healthcare provider seeking to understand the tools at your disposal, a technologist interested in the medical applications of AI, or a policymaker navigating the challenges of regulation and equity, this book serves as both a guide and a reflection on what it means to practice medicine in an age of intelligent technology. We are standing at the threshold of a new era—one where clinical insight is amplified by computational intelligence, and patient care is guided by data-driven precision. Beyond the Stethoscope invites you to explore this frontier, where healing meets innovation and the future of healthcare is being written today.

Deep Learning For Cancer Diagnosis

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Author : Utku Kose
language : en
Publisher: Springer Nature
Release Date : 2020-09-12

Deep Learning For Cancer Diagnosis written by Utku Kose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-12 with Technology & Engineering categories.

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

Deep Learning In Biology And Medicine

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Author : Davide Bacciu
language : en
Publisher: World Scientific
Release Date : 2022-01-17

Deep Learning In Biology And Medicine written by Davide Bacciu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-17 with Computers categories.

Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressing high impact challenges, Deep Learning in Biology and Medicine provides an accessible and organic collection of Deep Learning essays on bioinformatics and medicine. It caters for a wide readership, ranging from machine learning practitioners and data scientists seeking methodological knowledge to address biomedical applications, to life science specialists in search of a gentle reference for advanced data analytics.With contributions from internationally renowned experts, the book covers foundational methodologies in a wide spectrum of life sciences applications, including electronic health record processing, diagnostic imaging, text processing, as well as omics-data processing. This survey of consolidated problems is complemented by a selection of advanced applications, including cheminformatics and biomedical interaction network analysis. A modern and mindful approach to the use of data-driven methodologies in the life sciences also requires careful consideration of the associated societal, ethical, legal and transparency challenges, which are covered in the concluding chapters of this book.

Artificial Intelligence Platform For Molecular Targeted Therapy A Translational Science Approach

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Author : Ariel Fernandez
language : en
Publisher: World Scientific
Release Date : 2021-03-12

Artificial Intelligence Platform For Molecular Targeted Therapy A Translational Science Approach written by Ariel Fernandez and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with Science categories.

In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views.This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery.Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach.