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Introduction: Since the dawn of the new millennium, Candida species have been increasingly implicated as a cause of both healthcare-associated as well as opportunistic yeast infections, due to the widespread use of indwelling medical devices, total parenteral nutrition, systemic corticosteroids, cytotoxic chemotherapy, and broad-spectrum antibiotics. Candida tropicalis is a pathogenic Candida species associated with considerable morbidity, mortality, and drug resistance issues on a global scale.

Methodology: We report a case of a 43-year-old man who was admitted to our hospital for further management of severe coronavirus disease 2019 (COVID-19) pneumonia.

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Background/objectives: (ALS), or Lou Gehrig's disease, is a debilitating, incurable neurodegenerative disorder characterised by motor neuron death in the spinal cord, brainstem, and motor cortex. With an incidence rate of about 4.42 cases per 100,000 people annually, ALS severely impacts motor function and quality of life, causing progressive muscle atrophy, spasticity, paralysis, and eventually death.

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Dermatophytosis, also known as Tinea infection, remains a significant interdisciplinary concern worldwide. This dermatophyte infection may be more serious in individuals with underlying somatic diseases, immunodeficiencies, endocrine disorders, or chronic illnesses. This study analyzed 313 patients with suspected dermatophytosis.

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The representation of driver mutations in preleukemic hematopoietic stem cells (pHSCs) provides a window into the somatic evolution that precedes acute myeloid leukemia (AML). Here, we isolate pHSCs from the bone marrow of 16 patients diagnosed with AML and perform single-cell DNA sequencing on thousands of cells to reconstruct phylogenetic trees of the major driver clones in each patient. We develop a computational framework that can infer levels of positive selection operating during preleukemic evolution from the statistical properties of these phylogenetic trees.

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Background: Patients with lung adenocarcinoma (LUAD) receiving drug treatment often have an unpredictive response and there is a lack of effective methods to predict treatment outcome for patients. Dendritic cells (DCs) play a significant role in the tumor microenvironment and the DCs-related gene signature may be used to predict treatment outcome. Here, we screened for DC-related genes to construct a prognostic signature to predict prognosis and response to immunotherapy in LUAD patients.

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