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There are several popular books published in Healthcare
Computational Informatics like Computational Bioengineering and
Bioinformatics (2020), Springer; Health Informatics (2017),
Springer; Health Informatics Vision: From Data via Information to
Knowledge (2019), IOS Press; Data Analytics in Biomedical
Engineering and Healthcare (2020), Elsevier. However, in all these
mentioned books, the challenges in Biomedical Imaging are solved in
one dimension by use of any specific technology like Image
Processing, Machine Learning or Computer Aided Systems. In
this book, the book it has been attempted to bring all technologies
related to computational analytics together and apply them on
Biomedical Imaging.
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.
There are several popular books published in Healthcare
Computational Informatics like Computational Bioengineering and
Bioinformatics (2020), Springer; Health Informatics (2017),
Springer; Health Informatics Vision: From Data via Information to
Knowledge (2019), IOS Press; Data Analytics in Biomedical
Engineering and Healthcare (2020), Elsevier. However, in all these
mentioned books, the challenges in Biomedical Imaging are solved in
one dimension by use of any specific technology like Image
Processing, Machine Learning or Computer Aided Systems. In this
book, the book it has been attempted to bring all technologies
related to computational analytics together and apply them on
Biomedical Imaging.
Medical imaging informatics play an important role in the
effectiveness of present-day healthcare systems. Advancement of
artificial intelligence, big data analytics, and internet of things
technologies contribute greatly to various healthcare applications.
Artificial intelligence techniques are contributing to improvements
with traditionally human-based systems and ensuring that the
accuracy of prediction and diagnosis is being continually enhanced.
The development of reliable and accurate healthcare models is
becoming ever more possible with the help of machine learning and
deep learning technologies. Artificial intelligence has the power
to solve many complex problems in medical imaging and is a
technology that will help to design the future of many healthcare
systems. This edited book highlights and addresses various issues
in medical imaging and provides viable solutions utilising
artificial intelligence and big data tools. This book discusses
techniques, algorithms, and tools which help build and develop
research practices, platforms, and applications in medical image
informatics. Medical image enhancement, big data analytics and
artificial intelligence models are discussed with relation to
applications in the detection of cancer, autism, allergies and
diabetes. The design and development of internet of medical things
and virtual reality tools for mental health disorders are also
explored. This book is suitable reading for researchers and
scientists, in both academia and industry, working in computer
science and engineering, machine learning, image processing, and
healthcare technologies. Those in aligned professions, such as
healthcare practitioners, administrators, designers and developers
may also find the subject matter of interest.
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