Publications by authors named "M Claassen"

Background: Severe flares (ALT ≥ 10×ULN) are a well-recognised adverse outcome after nucleos(t)ide analogue (NA) cessation and may lead to liver failure. Thus, identification of patients at risk for these flares is of major importance.

Methods: Data were used from two prospective studies on NA cessation conducted in the Netherlands and Canada.

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Background: Atypical teratoid rhabdoid tumors (ATRT) are incurable high-grade pediatric brain tumors. Despite intensive research efforts, the prognosis for ATRT patients under currently established treatment protocols is poor. While novel therapeutic strategies are urgently needed, the generation of molecular-driven treatment concepts is a challenge mainly due to the absence of actionable genetic alterations.

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Background & Aims: Chronic hepatitis D (CHD) is the most severe form of chronic viral hepatitis, with a high risk of developing hepatocellular carcinoma (HCC) and liver-related mortality. Risk stratification is needed to guide HCC surveillance strategies and to prioritize treatment with antiviral agents.

Methods: We conducted a multicenter retrospective cohort of anti-hepatitis D virus (HDV)-positive individuals managed at sites in the Netherlands and the United Kingdom.

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Background: Pretreatment of HIV drug resistance among children living with HIV (CLHIV) can compromise antiretroviral therapy (ART) effectiveness. Resistance may be transmitted directly from mothers or acquired following exposure to antiretrovirals consumed through breastfeeding or administered as prophylaxis.

Methods: We performed resistance testing in children aged <3 years, newly diagnosed with HIV in Western Cape, South Africa (2021-2022), who either (1) acquired HIV via possible breastfeeding transmission from mothers who received ART (any regimen) during pregnancy/postpartum and/or (2) were exposed to protease inhibitors or integrase strand transfer inhibitors (INSTIs) in utero.

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Article Synopsis
  • * This study investigates how different stakeholders view and experience AI in medicine, aiming to identify key AI-related topics and necessary competencies for medical students.
  • * Interviews with 38 participants revealed six main categories of insights, emphasizing the importance of curriculum contents, programming skills, and a standardized approach to teaching AI in medical education.
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