Publications by authors named "G L Quaglio"

Article Synopsis
  • * The development of targeted liposomes for cancer therapy has faced challenges, but a new type called Super Stealth Immunoliposomes (SSIL2) shows promise by stabilizing the protective polymer layer and effectively targeting cancer cells.
  • * Experimental results indicate that SSIL2 outperforms traditional stealth liposomes and stealth immunoliposomes in both safety and anticancer efficacy during tests in cell cultures, zebrafish larvae, and rodent models, marking progress in targeted cancer treatment.
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Article Synopsis
  • * A majority expressed positivity towards teamwork and telework, with 81% viewing teleworking favorably, while 94% felt better prepared for future crises based on their experiences.
  • * Findings emphasized the need for improved mental health support, sufficient staffing, clear protocols for PPE, and enhanced collaboration with local health systems and medical services.
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Background: Mainstream medical education remains largely focused on national health issues. Therefore, in order to expose medical students to international health issues, it is beneficial to facilitate international medical electives.

Methods: This article describes the Junior Project Officer (JPO) program, a medical experience based on clinical electives in Sub-Saharan Africa, supported by a Non-Governmental Organisation (NGO).

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Article Synopsis
  • Post-emergency, systems often shift focus back to routine management, missing chances to improve based on past crises like COVID-19.
  • A workshop in the European Parliament emphasized the need for enhanced collaboration and stronger health systems in response to health crises.
  • The report reviews various initiatives from the pandemic, highlighting lessons learned at global, national, and local levels to inform future responses.
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Setting: Six hospitals in four sub-Saharan African countries.

Objective: To examine the indirect effects of COVID-19 on health service utilisation and to explore the risk of bias in studies on prediction models.

Design: Monthly data were analysed using interrupted time-series modelling.

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