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dc.contributor.authorHassan, H
dc.contributor.authorRazak, HRA
dc.contributor.authorSaad, FFA
dc.contributor.authorKumar, V
dc.date.accessioned2022-07-07T12:48:47Z
dc.date.issued2019-08-29
dc.date.updated2022-07-07T11:37:35Z
dc.description.abstractUsing radiolabelled peptides that bind, with high affinity and specificity, to receptors on tumour cells is one of the most promising fields in modern molecular imaging and targeted radionuclide therapy (1). In the emergence of molecular imaging and nuclear medicine diagnosis and therapy, albeit theranostic, radiolabelled peptides have become vital tools for in vivo visualisation and monitoring physiological and biochemical processes on molecular and cellular levels (2). This approach may benefit patients in the era of personalised medicine.en_GB
dc.format.extent122-126
dc.format.mediumPrint-Electronic
dc.identifier.citationVol. 26(4), pp. 122-126en_GB
dc.identifier.doihttps://doi.org/10.21315/mjms2019.26.4.14
dc.identifier.urihttp://hdl.handle.net/10871/130182
dc.language.isoenen_GB
dc.publisherPenerbit Universiti Sains Malaysiaen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/31496901en_GB
dc.rights© Penerbit Universiti Sains Malaysia, 2019. Open access. This work is licensed under the terms of the Creative Commons Attribution (CC BY) (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subject18F[AlF] methoden_GB
dc.subjectautomated platformen_GB
dc.subjectmolecular imagingen_GB
dc.subjectradiolabelled peptideen_GB
dc.title18F[AlF]-radiolabelled Peptides on the Automated Synthesis Platform: Translating the Laboratory Bench Work to Bedsideen_GB
dc.typeArticleen_GB
dc.date.available2022-07-07T12:48:47Z
dc.identifier.issn1394-195X
exeter.place-of-publicationMalaysia
dc.descriptionThis is the final version. Available on open access from the Penerbit Universiti Sains Malaysia via the DOI in this recorden_GB
dc.identifier.eissn2180-4303
dc.identifier.journalMalaysian Journal of Medical Sciencesen_GB
dc.relation.ispartofMalays J Med Sci, 26(4)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-05-14
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-08-29
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-07-07T12:47:10Z
refterms.versionFCDVoR
refterms.dateFOA2022-07-07T12:49:08Z
refterms.panelAen_GB
refterms.dateFirstOnline2019-08-29


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© Penerbit Universiti Sains Malaysia, 2019. Open access. This work is licensed under the terms of the Creative Commons Attribution (CC BY)  (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © Penerbit Universiti Sains Malaysia, 2019. Open access. This work is licensed under the terms of the Creative Commons Attribution (CC BY) (http://creativecommons.org/licenses/by/4.0/).