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Advances in Nanomedicine for the Delivery of Therapeutic Nucleic
Acids addresses several issues related to safe and effective
delivery of nucleic acids (NAs) using nanoparticles. A further
emphasis would be laid on the mechanism of delivery of NAs, the
barriers encountered and the strategies adapted to combat them. An
exhaustive account of the advantages as well shortcomings of all
the delivery vectors being employed in delivery of various NAs will
be provided. On final note the regulatory aspects of nanoparticles
mediated NA would be discussed, with focus on their clinical
relevance. The design and development of nucleic acid-based
therapeutics for the treatment of diseases arising from genetic
abnormalities has made significant progress over the past few
years. NAs have been widely explored for the treatment of cancer
and infectious diseases or to block cell proliferation and thereby
caused diseases. Advances in synthetic oligonucleotide chemistry
resulted in synthesis of NAs that are relatively stable in in vivo
environments. However, cellular targeting and intracellular
delivery of NAs still remains a challenge. Further development of
NA-based therapeutics depends on the progress of safe and effective
carriers for systemic administration. Nanomedicine has facilitated
availability of vectors with diminished cytotoxicity and enhanced
efficacy which are rapidly emerging as systems of choice. These
vectors protect NAs from enzymatic degradation by forming condensed
complexes along with targeted tissue and cellular delivery. During
the past few years, a myriad reports have appeared reporting
delivery of NAs mediated by nanoparticles. This book will provide
an overview of nanoparticles being employed in the in vitro and in
vivo delivery of therapeutically relevant NAs like DNA, siRNA, LNA,
PNA, etc.
This book presents state-of-the-art of optimization algorithms
followed by internet of things (IoT) fundamentals. The applications
of machine learning and IoT are explored, with topics such as
optimization, algorithms, machine learning in image processing and
IoT. Applications of Optimization and Machine Learning in Image
Processing and IoT is a complete reference source, providing the
latest research findings and solutions for optimization and machine
learning algorithms. The chapters examine and discuss machine
learning, and IoT and image processing field. Key Features: ·
Includes fundamental concepts towards advanced applications in
machine learning and IoT. · Discusses potential and challenges of
machine learning for IoT and optimization · Reviews recent
advancements in diverse researches on computer vision, networking
and optimization field. · Presents latest technologies like
machine learning in image processing and IoT This book has been
written considering readers in academia, engineering, IT
specialists, researchers, industrial professionals, and students,
and is a great reference for those just starting out in the field
as well as those at an advanced level.
This book presents state-of-the-art of optimization algorithms
followed by internet of things (IoT) fundamentals. The applications
of machine learning and IoT are explored, with topics such as
optimization, algorithms, machine learning in image processing and
IoT. Applications of Optimization and Machine Learning in Image
Processing and IoT is a complete reference source, providing the
latest research findings and solutions for optimization and machine
learning algorithms. The chapters examine and discuss machine
learning, and IoT and image processing field. Key Features: ·
Includes fundamental concepts towards advanced applications in
machine learning and IoT. · Discusses potential and challenges of
machine learning for IoT and optimization · Reviews recent
advancements in diverse researches on computer vision, networking
and optimization field. · Presents latest technologies like
machine learning in image processing and IoT This book has been
written considering readers in academia, engineering, IT
specialists, researchers, industrial professionals, and students,
and is a great reference for those just starting out in the field
as well as those at an advanced level.
Food which nanotechnology has impacted or to which
nanotechnology is applied is referred to as nanofood. From
treatment of the soil in which a crop plant is grown to the caring
of a food, nanotechnology is a growing factor in the food supply.
At this point, however, there is no definitive, effective global
method for regulating the use of nanotechnology as it relates to
the food suply.
Legislation on nanotechnologies is still evolving, as is
understanding what data is needed for effective, efficient and
appropriate risk assessment associated with nanotechnology impacted
foods. Due to the emerging nature of nanotechnology and its role in
the food supply, case-by-case studies are the current norm, but the
need for wide-scale testing and broad-based regulatory standards is
urgent.
This project is based on an EFFoST study designed to provide a
comparative study of nanofood regulations in order to guide
regulation development in this rapidly expanding market.
Provides comparative study of nanofood regulations in order to
guide regulation development in this rapidly expanding
marketIncludes both case-by-case examples and more broad-based
insightsProvides models for regulation specifically for regulating
nanotechnology as applied to food"
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