11 May 2026Open access
Electronic nose versus gas chromatography – mass spectrometry for diagnostic discrimination of advanced hepatocellular carcinoma by volatolomic analysisPublisher siteBMC Gastroenterology, Advanced Chemical Sensor Technologies
UniversitiesRadwa A. Meshref
Active, last published 2026
In radiomics and machine learning in medical imaging
Radwa A.
Meshref
Scholar“Research focused on Radiomics and Machine Learning in Medical Imaging and adjacent fields.”
Pharos University in Alexandria
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01 · About the work
What I study
adwa A. Meshref is a researcher working on Radiomics and Machine Learning in Medical Imaging. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Radwa's work has been cited 40 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Radiomics and Machine Learning in Medical Imaging×3AI in cancer detection×2Advanced Chemical Sensor Technologies×2Bacterial Identification and Susceptibility Testing×2
04 · Where I am
Affiliations
Affiliation on published researchPharos University in AlexandriaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
5 works27 Jan 2025Open access
THE ADDED EFFECT OF ARTIFICIAL INTELLIGENCE IN CT ASSESSMENT OF ABDOMINAL LYMPHADENOPATHYPublisher siteLymphology, Lymphadenopathy Diagnosis and Analysis
23 Oct 2023Open access6cites
Electronic nose versus VITEK 2 system for the rapid diagnosis of bloodstream infectionsPublisher siteBrazilian Journal of Microbiology, Advanced Chemical Sensor Technologies
15 Oct 2023Open access14cites
Hydrothermal extraction and physicochemical characterization of biogenic hydroxyapatite nanoparticles from buffalo waste bones for in vivo xenograft in experimental ratsPublisher siteScientific Reports, Bone Tissue Engineering Materials
1 Jan 2023Open access
Electronic Nose Versus VITEK 2 System for the Rapid Diagnosis of Bloodstream InfectionsPublisher siteSSRN Electronic Journal, Advanced Chemical Sensor Technologies
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