Introduction: Tumor boards are a cornerstone of modern cancer treatment. Given their advanced capabilities, the role of Large Language Models (LLMs) in generating tumor board decisions for otorhinolaryngology (ORL) head and neck surgery is gaining increasing attention. However, concerns over data protection and the use of confidential patient information in web-based LLMs have restricted their widespread adoption and hindered the exploration of their full potential.
View Article and Find Full Text PDFBackground: Quantitative mucus cytokine analysis to examine the sinonasal microenvironment may bridge the gap between patient-reported outcome measures (PROMs) and empirical measures of inflammation in patients with chronic rhinosinusitis (CRS).
Objective: Investigate the correlation between mucus cytokine levels and Sino-Nasal Outcome Test (SNOT-22) scores, including individual subdomains.
Methods: Patients with CRS were prospectively recruited between 2016 and 2021 into a multi-institutional observational study.
This work aimed to improve some steps of the existing guidelines of the European Standards to obtain an Aspergillus brasiliensis ATCC 16404 spore suspension with >75% spiny spores without mycelia and a concentration of at least 1.5 × 108 CFU ml-1. Several manufacturers' combinations of "strain/medium" were assessed in terms of yield of spiny spores.
View Article and Find Full Text PDFIntroduction: Small cell transformation (SCT) is a typical mechanism of adaptive resistance to third generation epidermal growth factor receptor inhibitors (EGFRi) which have become the standard of care for EGFR-driven non-small cell lung cancer (EGFR+ NSCLC). Little is known about the optimal management of SCT patients. This study aimed to compare outcomes under platinum/etoposide chemotherapy alone (chemo) or in combination with EGFR inhibitors (EGFRi+chemo) or immune checkpoint inhibitors (ICI+chemo).
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