Binary classification of gynecological cancers based on ATR-FTIR spectroscopy and machine learning using urine samples.
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| Title: | Binary classification of gynecological cancers based on ATR-FTIR spectroscopy and machine learning using urine samples. |
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| Authors: | Vigo F; Department of Biomedicine, University of Basel, Basel, Switzerland.; Department of Gynecology, Clinic for Gynecology and Gynecologic Oncology, University Hospital of Basel, Spitalstrasse 21, 4055, Basel, Switzerland., Tozzi A; Department of Biomedicine, University of Basel, Basel, Switzerland.; Department of Gynecology, Clinic for Gynecology and Gynecologic Oncology, University Hospital of Basel, Spitalstrasse 21, 4055, Basel, Switzerland., Lombardo FC; Department of Biomedicine, University of Basel, Basel, Switzerland.; Department of Gynecology, Clinic for Gynecology and Gynecologic Oncology, University Hospital of Basel, Spitalstrasse 21, 4055, Basel, Switzerland., Eugster M; Department of Biomedicine, University of Basel, Basel, Switzerland., Kavvadias V; University Hospital of Basel, Basel, Switzerland., Brogle R; Medicine, University of Basel, Basel, Switzerland., Rigert J; Medicine, University of Basel, Basel, Switzerland., Heinzelmann-Schwarz V; Department of Biomedicine, University of Basel, Basel, Switzerland.; Department of Gynecology, Clinic for Gynecology and Gynecologic Oncology, University Hospital of Basel, Spitalstrasse 21, 4055, Basel, Switzerland., Kavvadias T; Department of Gynecology, Clinic for Gynecology and Gynecologic Oncology, University Hospital of Basel, Spitalstrasse 21, 4055, Basel, Switzerland. tilemachos.kavvadias@usb.ch. |
| Source: | Clinical and experimental medicine [Clin Exp Med] 2025 May 09; Vol. 25 (1), pp. 143. Date of Electronic Publication: 2025 May 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100973405 Publication Model: Electronic Cited Medium: Internet ISSN: 1591-9528 (Electronic) Linking ISSN: 15918890 NLM ISO Abbreviation: Clin Exp Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1591-9528 |
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| DOI: | 10.1007/s10238-025-01684-1 |
