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Fondazione Istituto G. Giglio di Cefalù

Italy

2 papers here52 citations across 2
fields
  • q-bio.OT1
  • q-bio.QM1
ROR 03dykc861OpenAlex

affiliations via OpenAlex

most citedMachine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies

28 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
  • G. Arena2 · h 18
  • M. Abdouh2 · h 29
  • Zu-hua Gao2 · h 2
  • J. Burnier1 · h 21
  • Kinshuk Sengupta1 · h 6
  • Melissa Berteau‐Rainville1
  • S. Elouatik1 · h 8
  • Stefano Forte1 · h 36
  • Thupten Tsering1 · h 13
collaborating institutions
  • Concordia UniversityCA2 papers
  • McGill UniversityCA2 papers
  • McGill University Health CentreCA2 papers
  • University of British ColumbiaCA2 papers
  • Institut National de la Recherche ScientifiqueCA1 paper
  • McGill Genome CentreCA1 paper
  • Microsoft Research (India)IN1 paper
  • Université de MontréalCA1 paper
Showing q-bio.OTShow all

1 paper · 1 filter

q-bio.OT2021★ 28 cited

Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies

Abicumaran Uthamacumaran, Samir Elouatik, Mohamed Abdouh +3

The early detection of cancer is a challenging problem in medicine. The blood sera of cancer patients are enriched with heterogeneous secretory lipid bound extracellular vesicles (…

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