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Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response.
D'Orazio, M; Murdocca, M; Mencattini, A; Casti, P; Filippi, J; Antonelli, G; Di Giuseppe, D; Comes, M C; Di Natale, C; Sangiuolo, F; Martinelli, E.
Affiliation
  • D'Orazio M; Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, 00133, Rome, Italy.
  • Murdocca M; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, 00133, Rome, Italy.
  • Mencattini A; Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy.
  • Casti P; Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, 00133, Rome, Italy. mencattini@ing.uniroma2.it.
  • Filippi J; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, 00133, Rome, Italy. mencattini@ing.uniroma2.it.
  • Antonelli G; Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, 00133, Rome, Italy.
  • Di Giuseppe D; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, 00133, Rome, Italy.
  • Comes MC; Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, 00133, Rome, Italy.
  • Di Natale C; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, 00133, Rome, Italy.
  • Sangiuolo F; Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, 00133, Rome, Italy.
  • Martinelli E; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Sci Rep ; 12(1): 8545, 2022 05 20.
Article in En | MEDLINE | ID: mdl-35595808
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Full text: 1 Database: MEDLINE Main subject: Colorectal Neoplasms / Adenocarcinoma / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Year: 2022 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Colorectal Neoplasms / Adenocarcinoma / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Year: 2022 Type: Article