• 262 Citations
20102020

Research output per year

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Personal profile

Research profile

Federica Eduati is an assistant professor at the department Biomedical Engineering (research group Computational Biology), working on systems biology for oncology. She investigates why patients differentially respond to cancer therapy, and how personalized therapy based on biomarkers can be developed. In particular, she approaches the complex problem of precision medicine by applying dynamic mathematical modeling approaches and machine learning techniques to investigate signaling pathways, their deregulation in cancer, and the specific effect of targeted therapy. Since precision medicine would largely benefit from the possibility to perform phenotypic drug screening directly on live patient tumor cells, she has also been collaborating on the development of a microfluidics platform for this purpose. She is now expanding her research to study the interaction between tumor and immune cells, using a systems biology approach to tackle the multiple open questions of immuno-oncology.

Quote

I want to contribute to the improvement of cancer therapy, using systems approaches to gain important insights into the complexity of tumors.

Academic background

Federica Eduati received a BSc in Biomedical Engineering (2006) and a MSc in Bioengineering (2008) from the University of Padova, Italy (both cum laude). During her PhD research she worked in the field of systems biology using different computational modeling approaches in order to gain new insights into biological systems. Following her graduation in 2013, she became a postdoc (EMBL EIPOD, co-funded Marie Curie fellowship) at the European Molecular Biology Laboratory (EMBL), shared between the Systems Biomedicine group of Julio Saez-Rodriguez at EMBL-EBI (Cambridge, UK) and the microfluidics group of Christoph Merten at EMBL-HD (Heidelberg, Germany). Since 2018 she is assistant professor in the Computational Biology group at Eindhoven University of Technology (TU/e, The Netherlands), working on systems biology for (immuno-)oncology. In 2013, Federica was co-organizer of the NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge (http://dreamchallenges.org/).

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Research Output

  • 262 Citations
  • 15 Article
  • 1 Conference contribution
  • 1 Review article

Patient-specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies

Eduati, F., Jaaks, P., Wappler, J., Cramer, T., Merten, C. A., Garnett, M. J. & Saez-Rodriguez, J., Feb 2020, In : Molecular Systems Biology. 16, 2, 13 p., e8664.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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  • 13 Downloads (Pure)

    A microfluidics platform for combinatorial drug screening on cancer biopsies

    Eduati, F., Utharala, R., Madhavan, D., Neumann, U. P., Longerich, T., Cramer, T., Saez-Rodriguez, J. & Merten, C. A., 22 Jun 2018, In : Nature Communications. 9, 1, 13 p., 2434.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 32 Citations (Scopus)
    122 Downloads (Pure)

    Multi-omics profiling of the tumor microenvironment: Paving the way to precision immuno-oncology

    Finotello, F. & Eduati, F., 5 Oct 2018, In : Frontiers in Oncology. 8, OCT, 9 p., 430.

    Research output: Contribution to journalReview articleAcademicpeer-review

    Open Access
    File
  • 12 Citations (Scopus)
    57 Downloads (Pure)

    Drug resistance mechanisms in colorectal cancer dissected with cell type-specific dynamic logic models

    Eduati, F., Doldàn-Martelli, V., Klinger, B., Cokelaer, T., Sieber, A., Kogera, F., Dorel, M., Garnett, M. J., Blüthgen, N. & Saez-Rodriguez, J., 15 Jun 2017, In : Cancer Research. 77, 12, p. 3364-3375 12 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 34 Citations (Scopus)

    Logic modeling in quantitative systems pharmacology

    Traynard, P., Tobalina, L., Eduati, F., Calzone, L. & Saez-Rodriguez, J., 1 Aug 2017, In : CPT: Pharmacometrics & Systems Pharmacology. 6, 8, p. 499-511 13 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 7 Citations (Scopus)
    31 Downloads (Pure)

    Courses

    DBL Oncology

    1/09/13 → …

    Course

    Project Computational biology

    1/09/1431/08/20

    Course

    Press / Media

    Germany : Miniature testing of drug pairs on tumour biopsies

    Federica Eduati

    26/06/18

    1 item of Media coverage

    Press/Media: Expert Comment

    Miniature Testing of Drug Pairs on Tumour Biopsies

    F. Eduati

    25/06/18

    1 item of Media coverage

    Press/Media: Expert Comment

    New Device Enables Test for Cancer Drug Combinations on Tumor Biopsies

    Federica Eduati

    25/06/18

    1 item of Media coverage

    Press/Media: Expert Comment

    Miniature Testing of Drug Pairs on Tumor Biopsies

    Federica Eduati

    25/06/18

    2 items of Media coverage

    Press/Media: Expert Comment

    Miniature testing of drug pairs on tumour biopsies

    Federica Eduati

    22/06/1825/06/18

    3 items of Media coverage

    Press/Media: Expert Comment

    Student theses

    Primary tumor origin classification of lung nodules in spectral CT using transfer learning

    Author: Hesse, L., 20 Jun 2019

    Supervisor: Pluim, J. (Supervisor 1), de Jong, P. A. (External person) (External coach), Cheplygina, V. (Supervisor 2) & Eduati, F. (Supervisor 2)

    Student thesis: Master

    Re-referencing methods for high-density electrocorticographic signals: evaluating alternatives of common average re-referencing

    Author: Pilmeyer, J., 29 Nov 2018

    Supervisor: Pluim, J. (Supervisor 1), Cheplygina, V. (Supervisor 2), Eduati, F. (Supervisor 2), Freudenburg, Z. (External person) (External coach) & Branco, M. (External person) (External coach)

    Student thesis: Master

    Segmentation and classification of skin cancer in histopathological whole slide images

    Author: van Zon, M., 28 Nov 2019

    Supervisor: Pluim, J. P. (Supervisor 1), Veta, M. (Supervisor 2), Eduati, F. (Supervisor 2), van Diest, P. J. (External person) (External coach) & Stathonikos, N. (External person) (External coach)

    Student thesis: Master

    Tackling B1+ inhomogeneity problems at high field MRI to be able to predict neoadjuvant chemotherapy response in breast cancer patients

    Author: Elschot, E., 30 Jan 2020

    Supervisor: Raaijmakers, A. (Supervisor 1), Breeuwer, M. (Supervisor 2), Eduati, F. (Supervisor 2), Wijnen, J. P. (External coach) & van den Wildenberg, L. (External coach)

    Student thesis: Master

    File