Projects per year
Personal profile
Quote
If a picture is worth a thousand words, what is a model worth?
Research profile
Simona Turco is an assistant professor at the Signal Processing Systems group (department of Electrical Engineering), and member of the Biomdical Diagnostics (BM/d) research lab and of the Eindhoven MedTech Innovation Center (e/MTIC). Her research focuses on quantitative model-driven analysis of medical images and biosignals, with focus on oncology and perioperative care. As cancer growth and aggressiveness relate to angiogenesis, i.e., the formation of chaotic network of leaky microvessels, her research in cancer diagnostics is devoted to developing novel imaging solutions for assessment of angiogenesis. To go beyond structural imaging, ultrasound and MRI dynamic imaging with injection of contrast agents are used to extract structural, functional, and molecular information on angiogenic vasculature at different spatial and temporal scales. In the context of perioperative care, Turco's research focuses on model-based analysis of biosignals for accurate prognosis and timely identification of patients at risk. By combining model-based feature extraction with data-driven approaches for optimal feature selection, she aims at developing effective risk prediction models to support clinical decision making. In general, Turco aims at facilitating the translation of research, driven by industrial and clinical needs, through tight collaborations with top healthcare partners.
Academic background
Simona Turco obtained her MSc in Biomedical Engineering from the University of Pisa (Italy) in 2012 summa cum laude. In 2015, she obtained a professional doctorate in engineering (PDEng) in Healthcare system design from the Stan Ackermans Institute at University of Technology (TU/e). Here, she also completed her Phd in 2018, with thesis entitled “Pharmacokinetic modeling in cancer: from functional to molecular imaging of angiogenesis”. Currently, she is assistant professor at the Biomedical Diagnostics (BM/d) research lab, focusing on quantitative model-driven analysis of bio-signals.
Education and Teaching
- Statistical signal processing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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TKI-HTSM/21.0219/TKI2112P11 PISANO SPS: Perioperative Innovations, Sleep Apnea and Newborn Opportunities
Bergmans, J. W. M., Stevens, T. S. W., van der Hagen, D., Bergmans, J. W. M., van der Hagen, D., Barbagini, A., de Vries, T., Kuhn, J., Schiphorst, L., Peri, E., Turco, S., Varisco, G. & Belt, H. J. W.
1/09/21 → 31/08/26
Project: Research direct
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Integrating genomics and imaging for improved prostate cancer
Turco, S. & van der Hagen, D.
15/01/20 → 15/07/22
Project: Research direct
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PPS TKI Philips MEDICAID: MedTech Solutions for Earlier Detection of Cardiovascular Disease
Bergmans, J. W. M., Sammali, F., Bester, M., van de Laar, L., van Gilst, M. M., Mischi, M., Wulterkens, B., van der Hagen, D., Rabotti, C., Vullings, R., Schiphorst, L., Bakkes, T. H. G. F. & Turco, S.
2/01/18 → 30/09/23
Project: Research direct
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A Qualitative View on Contrast-Enhanced Ultrasound of the Postnatal Placenta Vasculature
Kandi, F., Beijnsberger, L., Chen, P., Turco, S. & Mischi, M., 17 Nov 2023.Research output: Contribution to conference › Poster
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Automated detection and classification of patient–ventilator asynchrony by means of machine learning and simulated data
Bakkes, T., van Diepen, A., De Bie, A., Montenij, L., Mojoli, F., Bouwman, A., Mischi, M., Woerlee, P. & Turco, S., Mar 2023, In: Computer Methods and Programs in Biomedicine. 230, 10 p., 107333.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile64 Downloads (Pure) -
Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation
van Diepen, A., Bakkes, T. H. G. F., de Bie, A. J. R., Turco, S., Bouwman, R. A., Woerlee, P. H. & Mischi, M., Feb 2023, In: Heliyon. 9, 2, 14 p., e13610.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile27 Downloads (Pure) -
New Hemodynamic Parameters in Peri-Operative and Critical Care: Challenges in Translation
Bogatu, L., Turco, S., Mischi, M., Schmitt, L., Woerlee, P. H., Bezemer, R., Bouwman, A. R., Korsten, E. H. H. M. & Muehlsteff, J., 16 Feb 2023, In: Sensors. 23, 4, 22 p., 2226.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)21 Downloads (Pure) -
Pharmacokinetic modeling of the Second-wave Phenomenon in Nanobubble-based Contrast-enhanced Ultrasound
Chen, C., Perera, R., Kolios, M. C., Wijkstra, H., Exner, A. A., Mischi, M. & Turco, S., Jan 2023, In: IEEE Transactions on Biomedical Engineering. 70, 1, p. 42-54 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile17 Downloads (Pure)
Prizes
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Best paper published by IEEE-EMBS in 2015-16, 3rd place
Turco, Simona (Recipient), 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best poster award (2nd place) at the Joint Meeting of the IEEEEMBS Benelux Chapter, Bruxelles (Belgium), 2017
Turco, Simona (Recipient), 1 Dec 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Poster Award at the 24th European symposium on Ultrasound Contrast Imaging
Turco, Simona (Recipient), 18 Jan 2019
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Hanart fonds fellowship artifical intelligence in oncology
Turco, Simona (Recipient), 1 Nov 2019
Prize: Other › Fellowships & memberships › Scientific
Courses
Press/Media
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Best poster award for Yizhou Huang at NCBME 2019
Yizhou Huang, Simona Turco & Massimo Mischi
29/11/19
1 Media contribution
Press/Media: Research