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Suleiman, Manal, Abu-Aqil, George, Sharaha, Uraib, Riesenberg, Klaris, Lapidot, Itshak, Salman, Ahmad, Huleihel, Mahmoud (2022) Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa’s susceptibility to antibiotics. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 274. 121080 doi:10.1016/j.saa.2022.121080

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Reference TypeJournal (article/letter/editorial)
TitleInfra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa’s susceptibility to antibiotics
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsSuleiman, ManalAuthor
Abu-Aqil, GeorgeAuthor
Sharaha, UraibAuthor
Riesenberg, KlarisAuthor
Lapidot, ItshakAuthor
Salman, AhmadAuthor
Huleihel, MahmoudAuthor
Year2022 (June)Volume274
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2022.121080Search in ResearchGate
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Mindat Ref. ID16404590Long-form Identifiermindat:1:5:16404590:3
GUID0
Full ReferenceSuleiman, Manal, Abu-Aqil, George, Sharaha, Uraib, Riesenberg, Klaris, Lapidot, Itshak, Salman, Ahmad, Huleihel, Mahmoud (2022) Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa’s susceptibility to antibiotics. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 274. 121080 doi:10.1016/j.saa.2022.121080
Plain TextSuleiman, Manal, Abu-Aqil, George, Sharaha, Uraib, Riesenberg, Klaris, Lapidot, Itshak, Salman, Ahmad, Huleihel, Mahmoud (2022) Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa’s susceptibility to antibiotics. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 274. 121080 doi:10.1016/j.saa.2022.121080
In(2022) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 274. Elsevier BV

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