RNA-Based Next-Generation Sequencing in Non-Small Cell Lung Cancer patients: data from Campania, Italy.

Objective: ALK, ROS1, NTRK, and RET gene fusions and MET exon 14 skipping alterations represent fundamental predictive biomarkers for advanced non-small cell lung cancer (NSCLC) patients to ensure the best treatment choice. In this scenario, RNA-based NGS approach has emerged as an extremely useful tool for detecting these alterations. In this study, we report our NGS molecular records on ALK, ROS1, NTRK, and RET gene fusions and MET exon 14 skipping alterations detected by using a narrow RNA-based NGS panel, namely SiRe fusion.

Socio-economic gradients in pupils' self-efficacy: evidence, evolution and main drivers during the primary school years in France.

Socio-emotional skills, vital for navigating life's challenges, significantly influence educational success and well-being. Thus, socio-economic disparities in these skills may contribute to broader inequalities in achievement. Despite their importance, research in certain contexts, like France, remains limited.

Molecular Diagnostic Yield and Safety Profile of Ultrasound-Guided Lung Biopsies: A Cross-Sectional Study.

Background: The recent advances in precision oncology for lung cancer treatment has focused attention on the importance of obtaining appropriate specimens for tissue diagnosis as well as comprehensive molecular profiling. CT scan-guided biopsies and bronchoscopy are currently the main procedures employed for tissue sampling. However, growing evidence suggests that ultrasound-guided biopsies may represent an effective as well as safe approach in this diagnostic area.

Development of an Artificial-Intelligence-Based Tool for Automated Assessment of Cellularity in Bone Marrow Biopsies in Ph-Negative Myeloproliferative Neoplasms.

The cellularity assessment in bone marrow biopsies (BMBs) for the diagnosis of Philadelphia chromosome (Ph)-negative myeloproliferative neoplasms (MPNs) is a key diagnostic feature and is usually performed by the human eyes through an optical microscope with consequent inter-observer and intra-observer variability. Thus, the use of an automated tool may reduce variability, improving the uniformity of the evaluation. The aim of this work is to develop an accurate AI-based tool for the automated quantification of cellularity in BMB histology.

Gradients in low birthweight by maternal education: A comparative perspective.

Background: Longstanding research has shown strong inequalities in low birthweight by household income. However, most such research has focused on Anglophone countries, while evidence emerging from other developed countries suggest a stronger role of education rather than incomes in creating inequalities at birth. This paper compares gradients in low birthweight by maternal education, as well as explores underlying mechanisms contributing to these gradients, in France, the United States, and the United Kingdom.