Results 141 to 150 of about 649,205 (258)

Erythema nodosum as a rare presentation of pulmonary tuberculosis in adolescents: A case report. [PDF]

open access: yesRespir Med Case Rep
Escudero-Quintero H   +2 more
europepmc   +1 more source

Prevalence and Clinical Variants of Scabies at Mbarara Regional Referral Hospital, Uganda

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Scabies affects an estimated 200 million people globally. Despite its designation as a neglected tropical disease by the WHO in 2017, local data on its burden remain scarce. Objectives To assess the prevalence and describe clinical variants of scabies infestation amongst patients seen at Mbarara Regional Referral Hospital (MRRH ...
Abraham Mukalazi   +4 more
wiley   +1 more source

Beyond Skin and Eyes: The Medical and Social Burden of Oculocutaneous Albinism in Africa: A Narrative Review

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Oculocutaneous albinism (OCA) is a genetic disorder found worldwide, but its impact is particularly pronounced in the African continent. This results from both a higher prevalence and the persistent myths and superstitions surrounding the condition in many African communities.
Rebecca Donadoni   +3 more
wiley   +1 more source

A Case of Transmission of Bedaquiline- and Linezolid-Resistant Tuberculosis. [PDF]

open access: yesInt J Mol Sci
Ushtanit A   +5 more
europepmc   +1 more source

LncRNA NORAD Enhances Inflammatory Injury in Sepsis‐Associated Acute Lung Damage Through miR‐150‐5p/STAT1‐Dependent NF‐κB Activation

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Acute lung injury (ALI) is a severe complication of sepsis, yet the role of lncRNA NORAD in its pathogenesis remains unclear. Using LPS‐stimulated BEAS‐2B and HBEC3‐KT cells as well as cecal ligation and puncture (CLP)‐induced ALI models in C57BL/6 mice, we found that NORAD expression was markedly upregulated and promoted cell injury ...
Han Liu   +4 more
wiley   +1 more source

Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning

open access: yesMacromolecular Rapid Communications, EarlyView.
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh   +2 more
wiley   +1 more source

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