Dr.-Ing. Melanie Fachet

Dr.-Ing. Melanie Fachet

Institute of Medical Engineering
Chair of Medical Systems Technology
Deputy head of the chair
Otto-Hahn-Straße 2, 39106, Magdeburg, G82-154
Profile

Research Fields:

  • High-resolution molecular imaging approaches
  • Innovative nanomedicine for diagnosis and therapy
  • Tissue engineering and organ-on-chip systems
  • Breath gas analysis
  • Mechanistic multiscale and data-driven (machine learning and AI) modeling approaches 

Applications:

I. In vivo and in vitro molecular imaging with X-ray fluorescence computed tomography:

  • Drug screening for innovative nanomedicine
  • Pharmacokinetic and -dynamic modeling
  • Investigation of immune system dynamics

II. Non-invasive biomarker screening for diagnostic and therapeutic applications using breath gas analysis: 

  • Mechanistic understanding of volatile breath biomarkers in disease development and progression
  • Biomarker screening for cancer detection and lung disorders 
  • Headspace analysis of cell cultures and engineered tissue
  • Skin gas analysis
  • Metabolic network analysis

III. Explainable machine and deep learning for personalized clinical decision making:

  • Inflammatory and infection risk analysis in patients with traumatic injuries

Membership in societies and committees:

  • ESR (European Society of Radiology)
  • DGBMT (Deutsche Gesellschaft für Biomedizinische Technik)
  • VDE (Verband der Elektrotechnik, Elektronik, Informationstechnik)

Education:

since 07/2021

Deputy head of the chair and lecturer at the Chair for Medical Systems Technology, Otto von Guericke University Magdeburg.

since 07/2019

Postdoctoral lecture qualification (Habilitation) and research scientist at the Institute for Medical Technology, Otto von Guericke University Magdeburg.
07/2017 - 07/2019 Postdoctoral researcher in Process Systems Engineering (Prof. K. Sundmacher), Max Planck Institute for Dynamics of Complex Technical Systems.
06/2017 PhD degree (Dr.-Ing., summa cum laude) in Process Systems Engineering/ Photobiotechnology.
07/2011 - 06/2017  PhD student in Process Systems Engineering (Prof. K. Sundmacher), Max Planck Institute for Dynamics of Complex Technical Systems.
10/2005 - 06/2011 Studies of Biosystems Engineering, Otto von Guericke University Magdeburg.
Publications/Research

Current projects:

  • Signaturen aus der Atemluft bei der Depression: Stressbezogene Veränderungen im Ausatemsignal während der Frühphase des Krankheitsmanagement (03/2021-02/2024), funded by DFG (Deutsche Forschungsgemeinschaft)
  • MetrINo: Metrology for innovative nanomedicine (07/2023-06/2026), funded by EURAMET under the European Partnership on Metrology 2022 call.

Closed projects:

  • KI-INSPIRE: Künstliche Intelligenz für den innovativen nachhaltigen Strahlenschutz von Patienten in interventionellen radiologischen Einsatzgebieten (12/2020-11/2023), funded by Federal Ministry of the Environment, Nature Conservation and Nuclear Safety
  • In-vivo imaging and pharmacokinetics of gold nanoparticles (07/2019-07/2022), funded by the state of Saxony-Anhalt.

Publications:

2023

  • M. Fachet, R. V. Mushunuri, C. B. Bergmann, T. Staufer, I. Marzi, C. Hoeschen, B. Relja. Utilizing predictive machine-learning modelling unveils feature-based risk assessment system for hyperinflammatory patterns and infectious outcomes in polytrauma, Frontiers in Immunology (2023), DOI: 10.3389/fimmu.2023.1281674.
  • K. Kumar, M. Fachet, M. Al-Maatoq, A. Chakraborty, R. S. Khismatrao, S. V. Oka, T. Staufer, F. Grüner, T. Michel, H. Walles, C. Hoeschen. Characterization of a polychromatic microfocus X-ray fluorescence imaging setup with metallic contrast agents in a microphysiological tumor model, Frontiers in Physics (2023), DOI: 10.3389/fphy.2023.1125143.
  • F. Al-Jaberi, M. Fachet, M. Moeskes, M. Skalej, C. Hoeschen. Optimization Techniques for Semi-Automated 3D Rigid Registration in Multimodal Image-Guided Deep Brain Stimulation, Current directions in biomedical engineering (2023), 9(1):355-358, DOI: 10.1515/cdbme-2023-1089.
  • M. Al-Maatoq, M. Fachet, R. Rao, C. Hoeschen. Artifacts' Detection for MRI Non-Metallic Needles: Comparative Analysis for Artifact Evaluation Using K-Means and Manual Quantification, Magnetochemistry (2023), DOI: 10.3390/magnetochemistry9030079.

2022

  • L. Gbaoui, M. Fachet, M. Lüno, G. Meyer-Lotz, T. Frodl, C. Hoeschen. Breathomics profiling of metabolic pathways affected by major depression: Possibilities and limitations. Frontiers in Psychiatry, (2022), 13:1061326, DOI: 10.3389/fpsyt.2022.1061326.
  • M. Fachet, S. Lowitzki, M.-L. Reckzeh, T. Walles, C. Hoeschen. Investigation of everyday influencing factors on the variability of exhaled breath profiles in healthy subjects, Current directions in biomedical engineering (2022), 2, 261-264, DOI: 10.1515/cdbme-2022-1067.
  • M. Al-Maatoq, M. Fachet, H. Walles, C. Hoeschen. Susceptibility artifacts evaluation for non-metallic biopsy needles in a biological-engineered 3D tumor model, Current directions in biomedical engineering (2022), 2, 289-292, DOI: 10.1515/cdbme-2022-1074.
  • M. Al-Maatoq, P. Fuentealba, M. Fachet, R. Glüge, A. H. R. Salah, C. Hoeschen. Carbon nanotube-based reinforced polymers for medical applications - improving impact strength of polymer-polymer composites, Journal of Nanomaterials (2022), 1760198, DOI: 10.1155/2022/1760198.

2021

  • F. Haag, A. Janicova, X. Baolin, M. Powerski, M. Fachet, K. Bundkirchen, C. Neunaber, I. Marzi, B. Relja, R. Sturm. Reduced phagocytosis, ROS production and enhanced apoptosis of leukocytes upon alcohol drinking in healthy volunteers, European Journal of Trauma and Emergency Surgery (2021), DOI: 10.1007/s00068-021-01643-x.

2020

  • L. K. Rihko-Struckmann, O. Oluyinka, A. Sahni, K. McBride, M. Fachet, K. Ludwig and K. Sundmacher: Transformation of remnant algal biomass to 5-HMF and levulinic acid: influence of a biphasic solvent system, RSC Advances (2020) 10(42):24753-24763, DOI: 10.1039/d0ra02784g.
  • M. Fachet, C. Witte, R. J. Flassig, L. K. Rihko-Struckmann, Z. McKie-Krisberg, J. E. W. Polle, K. Sundmacher: Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina, BMC Bioinformatics (2020) 21:1, DOI: 10.1186/s12859-019-3325-0.

2017

  • M. Fachet, R. J. Flassig, L. Rihko-Struckmann, K. Sundmacher: Carotenoid production process using green microalgae of the Dunaliella genus: Model-based analysis of interspecies variability, Industrial & Engineering Chemistry Research, 2017, 56:12888–12898, DOI: 10.1021/acs.iecr.7b01423.
  • L. Rihko-Struckmann, M. Molnar, K. Pirwitz, M. Fachet, K. McBride, A. Zinser, K. Sundmacher: Recovery and separation of carbohydrate derivatives from the lipid extracted alga Dunaliella by mild liquefaction, ACS Sustainable Chemistry & Engineering, 2017, 5:588-595, DOI: 10.1021/acssuschemeng.6b01957.

2016

  • R. J. Flassig, M. Fachet, K. Höffner, P. I. Barton, K. Sundmacher: Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae, Biotechnology for Biofuels, 2016, 9:165, DOI: 10.1186/s13068-016-0556-4.
  • M. Fachet, D. Hermsdorf, L. Rihko-Struckmann, K. Sundmacher: Flow cytometry enables dynamic tracking of algal stress response: A case study using carotenogenesis in Dunaliella salina, Algal Research, 2016, 13:227-234, DOI: 10.1016/j.algal.2015.11.014.

2015

  • R. J. Flassig, M. Fachet, L. Rihko-Struckmann, K. Sundmacher: Robust process design for the bioproduction of b-carotene in green microalgae, Proceedings of the 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, Copenhagen, Denmark, 31 May - 4 June, 2015, DOI: 10.1016/B978-0-444-63576-1.50047-9.
  • R. J. Flassig, M. Fachet, L. Rihko-Struckmann, K. Sundmacher: Robust process design for the bioproduction of b-carotene in green microalgae, Computer Aided Chemical Engineering, 2015, 37C:2117-2122, DOI: 10.1016/B978-0-444-63576-1.50047-9.

2014

  • M. Fachet, R. J. Flassig, L. Rihko-Struckmann, K. Sundmacher: A dynamic growth model of Dunaliella salina: Parameter identification and profile likelihood analysis, Bioresource Technology, 2014, 173C:21-31, DOI: 10.1016/j.biortech.2014.08.124.
Courses

Current teaching activities:

  • Scientific working (Seminar, every summer semester on a regular basis and every winter semester as a repetition course)
  • Einführung in die Medizinische Bildgebung (Lab course, every winter semester)
  • Pharmacokinetic and pharmacodynamic modeling (Vorlesung und Übung, jedes Sommersemester)
  • Planar medical imaging techniques (lecture, every winter semester)
  • Principles in clinical trials, market introduction and market surveillance of medical devices (lecture and seminar, every summer semester)

Past teaching activities:

  • Introduction to Medical Imaging (until summer semester 2020)
Office hours

By e-mail request.

Last Modification: 17.02.2023 - Contact Person: Webmaster