V3: Švecová M., Blahová L., Kostolný J., Birková A., Urdzík P., Mareková M., Dubayová K. – Enhancing endometrial cancer detection: Blood serum intrinsic fluorescence data processing and machine learning application – Talanta – 2025 – 283: 127083 – IF=5.6, Q1 – DOI: 10.1016/j.talanta.2024.127083.

V3: Švecová M., Dubayová K., Birková A., Urdzík P., Mareková M. – Non-Invasive Endometrial Cancer Screening through Urinary Fluorescent Metabolome Profile Monitoring and Machine Learning Algorithms – Cancers – 2024 – 16(18): 3155 – IF=4.5, Q1 – DOI: 10.3390/cancers16183155.

O3: Švecová M., Fiedlerová K., Dubayová K., Mareková M. – Potential application of body fluids autofluorescence in the non-invasive diagnosis of endometrial cancer – Klinická onkologie – 2024 – 37(2): 102-109 – SCOPUS, SJR=0.190, Q4 – DOI: 10.48095/ccko2024102.

V3: Švecová M., Fiedlerová K., Bohuš P., Mareková M., Dubayová K. – Spectral data processing in 3D fluorescence metabolomics of endometrial cancer – Clinical Chemistry and Laboratory Medicine – 2023 – 61(Suppl 1): S1798 – IF=3.8, Q1 – DOI: 10.1515/cclm-2023-7057.

O3: Švecová M., Dubayová K., Blahová L., Kostolný J., Urdzík P., Mareková M. – Metabolomic data mining for early detection of endometrial cancer – FEBS Open Bio – 2024 – 14(S2): P-26-077 – IF=2.6, Q2 – DOI: 10.1002/2211-5463.13837.

VEGA 1/0435/23 - Investigation of role of non-coding RNA and composition of metabolome in endometriosis and endometrial cancer - prof. Ing. Mária Mareková, CSc.

APVV-22-0357 - Non-invasive diagnostics based on ncRNA - doc. RNDr. Miroslava Rabajdová, PhD., univerzitná profesorka

VVGS-2022-2191- Investigation of specific DNA-binding of metal complexes containing NSAIDs – doc. RNDr. Lukáš Smolko, PhD.

VEGA 1/0540/20 - Study of selected biomarkers of the origin and progression of CNS demyelinating diseases – doc. Mgr. Peter Urban, PhD.