From Species Identification to Empirical Therapy: A Machine Learning and Rule-Based Decision Support Framework for Antifungal Resistance Prediction in ICU Candida Infections.

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Title: From Species Identification to Empirical Therapy: A Machine Learning and Rule-Based Decision Support Framework for Antifungal Resistance Prediction in ICU Candida Infections.
Authors: Solomon MP; Department of Microbiology, Parasitology and Virology, Faculty of Nursing, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.; Clinical Laboratory of Medical Microbiology, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania., Mahler B; Cardiothoracic Department, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020956 Bucharest, Romania.; Pneumology Department, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania., Ditu LM; Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, 060101 Bucharest, Romania.; MICROGEN Research Centre, Faculty of Biology, University of Bucharest, 060101 Bucharest, Romania., Popescu O; National Reference Laboratory of Tuberculosis, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania., Zugravu CA; Department of Hygiene and Nutrition, Carol Davila University of Medicine and Pharmacy, 050463 Bucharest, Romania.; National Institute of Public Health, 050463 Bucharest, Romania., Manolescu LSC; Department of Microbiology, Parasitology and Virology, Faculty of Nursing, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.; Clinical Laboratory of Medical Microbiology, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania.
Source: Medical sciences (Basel, Switzerland) [Med Sci (Basel)] 2026 Jun 15; Vol. 14 (2). Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101629322 Publication Model: Electronic Cited Medium: Internet ISSN: 2076-3271 (Electronic) Linking ISSN: 20763271 NLM ISO Abbreviation: Med Sci (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: From Species Identification to Empirical Therapy: A Machine Learning and Rule-Based Decision Support Framework for Antifungal Resistance Prediction in ICU Candida Infections.
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  Data: <searchLink fieldCode="AU" term="%22Solomon+MP%22">Solomon MP</searchLink>; Department of Microbiology, Parasitology and Virology, Faculty of Nursing, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.; Clinical Laboratory of Medical Microbiology, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania.<br /><searchLink fieldCode="AU" term="%22Mahler+B%22">Mahler B</searchLink>; Cardiothoracic Department, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 020956 Bucharest, Romania.; Pneumology Department, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania.<br /><searchLink fieldCode="AU" term="%22Ditu+LM%22">Ditu LM</searchLink>; Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, 060101 Bucharest, Romania.; MICROGEN Research Centre, Faculty of Biology, University of Bucharest, 060101 Bucharest, Romania.<br /><searchLink fieldCode="AU" term="%22Popescu+O%22">Popescu O</searchLink>; National Reference Laboratory of Tuberculosis, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania.<br /><searchLink fieldCode="AU" term="%22Zugravu+CA%22">Zugravu CA</searchLink>; Department of Hygiene and Nutrition, Carol Davila University of Medicine and Pharmacy, 050463 Bucharest, Romania.; National Institute of Public Health, 050463 Bucharest, Romania.<br /><searchLink fieldCode="AU" term="%22Manolescu+LSC%22">Manolescu LSC</searchLink>; Department of Microbiology, Parasitology and Virology, Faculty of Nursing, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.; Clinical Laboratory of Medical Microbiology, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101629322 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2076-3271 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220763271%22">20763271 </searchLink><i>NLM ISO Abbreviation: </i>Med Sci (Basel) <i>Subsets: </i>MEDLINE
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      – TitleFull: From Species Identification to Empirical Therapy: A Machine Learning and Rule-Based Decision Support Framework for Antifungal Resistance Prediction in ICU Candida Infections.
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              Text: 2026 Jun 15
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