| Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment P Wityk, P Sokołowski, M Szczerska, K Cierpiak, B Krawczyk, ... Journal of Biophotonics 16 (9), e202300095, 2023 | 6 | 2023 |
| Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples P Sokołowski, K Cierpiak, M Szczerska, M Wróbel, A Łuczkiewicz, ... Journal of Biophotonics, e202300523, 2024 | 1 | 2024 |
| The Application of fiber optic sensors using Machine Learning algorithms for temperature measurement of lithium-ion batteries K Cierpiak, M Szczerska, P Wierzba Photonics Letters of Poland 15 (3), 36-38, 2023 | 1 | 2023 |
| C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning K Cierpiak, P Wityk, M Kosowska, P Sokołowski, T Talaśka, J Gierowski, ... Scientific Reports 14 (1), 18854, 2024 | | 2024 |
| Biomarker identification and point-of-care assessment in urosepsis supported by machine learning P Wityk, K Cierpiak, J Raczak-Gutknecht, M Siemiński, J Szypenbejl, ... Biophotonics in Point-of-Care III 13008, 135-141, 2024 | | 2024 |
| Optical method supported by machine learning for urinary tract infections discrimination and bladder cancer detection. P Sokolowski, P Wityk, K Cierpiak, M Babińska, W Graczyk, B Krawczyk, ... Optical Sensing and Detection VIII 12999, 439-442, 2024 | | 2024 |
| Fiber-optic sensor empowered by machine learning: a promising integration for C-reactive protein sensing in biological samples K Cierpiak, M Szczerska Optical Sensing and Detection VIII 12999, 434-438, 2024 | | 2024 |
| Application of polymer optical fiber sensor for urine parameter measurements: a preliminary study P Sokołowski, K Cierpiak, P Wityk, A Drabik-Kruczkowska, M Szczerska Book of abstracts, 147, 0 | | |
Małgorzata SzczerskaGdańsk University of TechnologyVerified email at eti.pg.gda.pl
