header

Diagnosis of invasive aspergillosis by biomedical spectroscopy / (Record no. 81756)

MARC details
000 -LEADER
fixed length control field 02991cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032803.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210816s2021 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.08.06.M.Sc.2021.Om.D
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Omar Mohamed Anwar Mahmoud Elkadi
245 10 - TITLE STATEMENT
Title Diagnosis of invasive aspergillosis by biomedical spectroscopy /
Statement of responsibility, etc. Omar Mohamed Anwar Mahmoud Elkadi ; Supervised Mohammed Abdelhaleem Ramadan , Mervat Gabar Elanany
246 15 - VARYING FORM OF TITLE
Title proper/short title تشخيص داء الرشاشيات باستخدام المطيافية الطبية الحيوية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Omar Mohamed Anwar Mahmoud Elkadi ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 94 P. :
Other physical details charts , facsimiles ;
Dimensions 25cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Pharmacy - Department of Microbiology and Immunology
520 ## - SUMMARY, ETC.
Summary, etc. Invasive aspergillosis is a challenging infection that requires convenient, efficient, and cost-effective diagnostics. This study addresses the potential of infrared spectroscopy to satisfy this clinical need with the aid of machine learning by creating and assessing models that identify the presence of Aspergillus species in human blood plasma. For training of the machine learning models, clinical isolates of three Aspergillus species (A. fumigatus, A. flavus, and A. niger) in addition to Penicillium chrysogenum have been collected and identified by their macroscopic and microscopic morphology, and confirmed by MALDI-TOF MS. Two models, based on Partial Least Squares-Discriminant Analysis (PLS-DA), have been trained by a set of infrared spectral data of 9 Aspergillus-spiked (three of each collected Aspergillus species) and 7 Aspergillus-free plasma samples (including 2 samples spiked with P. chrysogenum), and a set of 200 spectral data simulated by oversampling these 16 samples. Two further models have also been trained by the same sets but with auto-scaling performed prior to PLS-DA.These models were assessed using 45 mock samples, simulating the challenging samples of patients at risk of invasive aspergillosis, including the presence of other common bloodstream pathogens (5 tested) and drugs (9 tested) as potential confounders.The pathogen tested as potential confounders are clinical isolates of Candida albicans, Klebsiella pneumoniae, Pseudomonas aeruginosa, Escherichia coli, and Staphylococcus epidermidis that have been collected and identified by conventional phenotypic method including culture morphology, microscopic examination, and biochemical reactions
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Aspergillosis
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Infrared spectroscopy
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Machine learning
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mervat Gabar Elanany ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohammed Abdelhaleem Ramadan ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.08.06.M.Sc.2021.Om.D 01010110083933000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.08.06.M.Sc.2021.Om.D 01020110083933000 22.09.2023 CD - Rom 83933.CD