ePub Optimization in Medicine and Biology (Engineering and Management Innovation) download

by Gino J. Lim,Eva K. Lee

Author:

Gino J. Lim,Eva K. Lee

ISBN13:

978-0849305634

ISBN:

0849305632

Language:

English

Publisher:

Auerbach Publications; 1 edition (January 8, 2008)

Category:

Engineers

Subcategory:

Engineering

ePub file:

1181 kb

Fb2 file:

1939 kb

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Rating:

4.8

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790

Gino J. Lim Eva K. Lee Engineering English

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Part two focuses on optimization in biology and discusses computational algorithms for genomic analysis; probe design and selection, properties of probes, and various algorithms and software packages to aid in probe selection and design. Subsequent chapters introduce a new dihedral angle measure for protein secondary prediction, and an optimization approach for tumor virotherapy with recombinant measles viruses.

Автор: Gino J. Lim Название: Optimization in Medicine and Biology Издательство: Taylor&Francis . It covers tissues and systems, and also includes information about the developmental plasticity of adult stem cells and the regeneration of appendages.

It covers tissues and systems, and also includes information about the developmental plasticity of adult stem cells and the regeneration of appendages.

Through optimization, scientists have made tremendous advances in cancer treatment planning, disease control, and drug development, as well as in sequencing DNA, and identifying protein structures.

oceedings{M, title {Optimization in Medicine and Biology}, author {Gino J. Lim and Eva K. Lee}, year {2008} }. Gino J. Lim, Eva K. Lee. View via Publisher.

Lim/Optimization in Medicine and Biology AU0563 C000 Final Proof Page ii . 2.

Gino J. Lee - Optimization in Medicine and Biology. Lee J. Alston, Joseph P. Ferrie - Southern Paternalism and the American Welfare State: Economics, Politics, and Institutions in the South, 1865-1965 (Political Economy of Institutions and Decisions).

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The IEEE Engineering in Medicine and Biology Society (EMBS) is an IEEE group dedicated to the study of Biomedical Engineering

The IEEE Engineering in Medicine and Biology Society (EMBS) is an IEEE group dedicated to the study of Biomedical Engineering. The IRE Professional Group on Medical Electronics was formed in 1952 to consider "problems in biology and medicine which might be aided in solution by use of electronic engineering principles and devices

Gino J. Le. Part two focuses on optimization in biology and discusses computational algorithms for genomic analysis; probe design and selection, properties of probes, and various algorithms and software packages to aid in probe selection and design. Hardback £136. eBook Rental from £8. 0.

Thanks to recent advancements, optimization is now recognized as a crucial component in research and decision-making across a number of fields. Through optimization, scientists have made tremendous advances in cancer treatment planning, disease control, and drug development, as well as in sequencing DNA, and identifying protein structures.

Optimization in Medicine and Biology provides researchers with a comprehensive, single-source reference that will enable them to apply the very latest optimization techniques to their work. With contributions from pioneering international experts this volume integrates strong foundational theory, good modeling techniques, and efficient and robust algorithms with relevant applications

Divided into two sections, the first begins with mathematical programming techniques for medical decision making processes and demonstrates their application to optimizing pediatric vaccine formularies, kidney paired donation, and the cost-effectiveness of HIV programs. It also presents recent advances in cancer treatment planning models and solution algorithms, including three-dimensional conventional conformal radiation therapy (3DCRT), intensity modulated radiation therapy (IMRT), tomotherapy, and proton therapy.

Highlighting the most recent advances in optimization techniques for solving complex problems in medical research, this book facilitates strong collaborative environments among optimization researchers and medical professionals for future medical research.

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