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Titlebook: New Insights in Medical Mycology; Kevin Kavanagh Book 2007 Springer Science+Business Media B.V. 2007 Fungal infection.Fungal pathogen.Immu

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發(fā)表于 2025-3-21 20:09:40 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱New Insights in Medical Mycology
編輯Kevin Kavanagh
視頻videohttp://file.papertrans.cn/666/665386/665386.mp4
概述Each Chapter is written by internationally recognised experts in the field.Provides a comprehensive assessment of our state of knowledge regarding each fungal pathogen.Indicates the main challenges th
圖書封面Titlebook: New Insights in Medical Mycology;  Kevin Kavanagh Book 2007 Springer Science+Business Media B.V. 2007 Fungal infection.Fungal pathogen.Immu
描述.Although the means of diagnosing and treating fungal infections have improved greatly over the last decade fungi still represent a serious threat to the health of immunocompromised and immunodeficient patients. The aim of this book is to give an in-depth assessment of our current understanding of the Biology of the main fungal pathogens and how they interact with the host’s immune response. Each Chapter focuses on a specific fungal pathogen or group of pathogens and examines their biology and the factors that allow the fungus colonise and disseminate within the host. In addition each Chapter gives an indication of the challenges that remain to be tackled over the next 5 – 10 years in increasing our understanding of fungal pathogenicity. Each chapter is written by internationally recognized experts and this has ensured that the book is as comprehensive and authoritative a text as is possible to assemble..
出版日期Book 2007
關(guān)鍵詞Fungal infection; Fungal pathogen; Immune response; Medical mycology; biology; infection; infections; infec
版次1
doihttps://doi.org/10.1007/978-1-4020-6397-8
isbn_softcover978-90-481-7625-0
isbn_ebook978-1-4020-6397-8
copyrightSpringer Science+Business Media B.V. 2007
The information of publication is updating

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發(fā)表于 2025-3-21 23:40:53 | 只看該作者
978-90-481-7625-0Springer Science+Business Media B.V. 2007
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https://doi.org/10.1007/978-1-4020-6397-8Fungal infection; Fungal pathogen; Immune response; Medical mycology; biology; infection; infections; infec
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Khaled H. Abu-Elteen,Mawieh M. Hamady, this field significantly contributes to the understanding and resolution of the related statistical inference issues. Finally, an application chapter examines real-world networks from the economic realm to show how the network clustering process can be used to deal with large, sparse datasets whe
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Erin E. McClelland,Arturo Casadevall,Helene C. Eisenmanrsions of the complexity classes . and .∩. are equal..A family of functions .. is . if .. can be computed with unbounded fan-in circuits of polynomial size and constant depth, but every family of inverses .. cannot. In this paper we give two provably one-way functions (in fact permutations) for cons
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