PDF) Distribution of Candida albicans and non-albicans Candida species isolated in different clinical samples and their in vitro antifungal suscetibity profile in Ethiopia
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![Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2022/13594/1/fig-4-full.png "Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis [PeerJ]")
Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis [PeerJ]
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Automated methods for antibiotic susceptibility testing
Automated methods for antibiotic susceptibility testing
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Fluconazole susceptibilities of 426 isolates of Candida spp. as... | Download Table
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Predicting disruptions to drug pharmacokinetics and the risk of adverse drug reactions in non-alcoholic steatohepatitis patients - ScienceDirect
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Homo medicus: The transition to meat eating increased pathogen pressure and the use of pharmacological plants in Homo - Hagen - 2023 - American Journal of Biological Anthropology - Wiley Online Library
![Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2022/13594/1/fig-3-full.png "Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis [PeerJ]")
Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis [PeerJ]
MALDI-TOF mass spectrometry identification of yeast-form fungi: a comparison between methods
