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

Tel.: +49 391 67 51485

Homepage

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 (03/2021-09/2025), 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.
IMAGEOMICS: Optimizing Benefit/Risk Ratio in Breast Cancer Diagnosis and Radiotherapy: Identifying Molecular, Cellular and Imaging Signatures of Breast Cancer Heterogeneity to Improve Personalized Therapeutic Strategies for Synergistic Treatment Combinations (02/2024-01/2027), PIANOFORTE open call 2023, co-funded by the European Union.
IMMPRINT: Integrated molecular imaging for personalized biomarker-based breast cancer characterization and treatment (04/2024-03/2027), PIANOFORTE open call 2023, co-funded by the European Union.
ElMiRa: Elbedome für Mixed-Reality in Forschung und Lehre (04/2024-03/2027), funded by the state of Saxony-Anhalt.

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:

2024

F. Al-Jaberi, M. Moeskes, M. Skalej, M. Fachet, C. Hoeschen. 3D-visualization of segmented contacts of directional deep brain stimulation electrodes via registration and fusion of CT and FDCT, EJNMMI (2024), DOI: 10.1186/s41824-024-00208-6
N. Mahmoodian, M. Rezapourian, A. A. Inamdar, K. Kumar, M. Fachet, C. Hoeschen. Enabling Low-Dose In Vivo Benchtop X-ray Fluorescence Computed Tomography through Deep-Learning-Based Denoising, Journal of Imaging (2024), DOI: 10.3390/jimaging10060127
K. Kumar, M. Fachet, C. Hoeschen. High-Spatial-Resolution Benchtop X-ray Fluorescence Imaging through Bragg-Diffraction-Based Focusing with Bent Mosaic Graphite Crystals: A Simulation Study, International Journal of Molecular Science (2024), DOI: 10.3390/ijms25094733
T. Haase, L. M. Steigemann, M. Fachet, E. Harnau, I. Böckelmann, L. M. Wagner. Verfahren zur objektiven Erfassung der psychischen Beanspruchung und erforderliche Maßnahmen zur Einbindung in die betriebliche Praxis, Arbeitswissenschaft in-the-loop: Mensch-Technologie-Integration und ihre Auswirkung auf Mensch, Arbeit und Arbeitsgestaltung. Gesellschaft für Arbeitswissenschaft (2024).

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.