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Background: Vulvovaginal candidiasis and urinary tract infections caused by are common diseases. While the most common causative agent is , other species, such as non-, can also be responsible. Susceptibility to antifungal drugs varies among species, but there is very limited information available from Vietnam.

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The impact of , , and polymorphisms on tacrolimus dose-adjusted concentration and clinical outcomes in adult allogeneic haematopoietic stem cell transplantation.

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January 2025

Department of Pharmacy, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Center of Soochow University, Suzhou, China.

Polymorphisms in genes related to drug-metabolising enzymes may affect tacrolimus exposure. This study aimed to assess the influence of , , and polymorphisms on tacrolimus pharmacokinetics and outcomes in allogeneic haematopoietic stem cell transplantation (HSCT).Forty-six adult patients receiving oral tacrolimus at an initial dose of 0.

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species, the leading cause of dermatophytosis globally, are increasingly resistant to antifungal treatments, concerns about effective management strategies. In light of the absence of established resistance criteria for terbinafine and azoles, coupled with a dearth of research on resistance mechanisms in , antifungal susceptibility and drug resistance gene diversity were analyzed across 64 , 65 , and 2  isolates collected in China between 2001 and 2024 and 101 published strains. Analyses of the minimum inhibitory concentrations (MICs) of terbinafine, itraconazole, voriconazole, posaconazole, and isavuconazole revealed a concerning increase in with terbinafine resistance, including two novel isolates from China.

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Background And Purpose: is the third most commonly isolated species from candidemia patients admitted to Indian intensive care units. Outbreak of infection and emergence of fluconazole resistance associated with this particular species has been increasingly documented since 2018. Worldwide data has documented that Y132F substitution in the gene is the predominant fluconazole resistance mechanism among .

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Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.

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