McGill Genome Centre

output

20132024

most citedMachine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study

24 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Abicumaran Uthamacumaran2 · h 10
A. Moreno-Estrada1 · h 38
A. Ruiz-Linares1 · h 54
B. K. Maples1 · h 7
C. Bustamante1 · h 113
C. Gignoux1 · h 54
E. Burchard1 · h 82
E. Kenny1 · h 60
Felipe S. Abrahão1 · h 3
Fouad Zakharia1 · h 8
G. Arena1 · h 18
G. Bedoya1 · h 46

collaborating institutions

McGill UniversityCA3 papers
Concordia UniversityCA2 papers
University of British ColumbiaCA2 papers
AIDS VancouverCA1 paper
BC Centre for Disease ControlCA1 paper
Child Health and Development InstituteUS1 paper
Djavad Mowafaghian Centre for Brain HealthCA1 paper
Fondazione Istituto G. Giglio di CefalùIT1 paper
Genome CanadaCA1 paper
Indoc ResearchCA1 paper
Instituto Multidisciplinario de Biología CelularAR1 paper
Karolinska InstitutetSE1 paper

Showing q-bio.QMShow all

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q-bio.QM2022★ 24 cited

Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study

Abicumaran Uthamacumaran, Mohamed Abdouh, Kinshuk Sengupta +5

Patient-derived extracellular vesicles (EVs) that contains a complex biological cargo is a valuable source of liquid biopsy diagnostics to aid in early detection, cancer screening,…