Assessing the effects of electromagnetic fields generated by submarine power cables on the soft-bottom community: An ecological in-situ study.

This study represents the first in situ investigation into the effects of magnetic fields (MFs) on soft-bottom macrofauna communities, laying the groundwork for further studies to better understand their potential consequences on marine ecosystems. Conducted in the Natural Park of the Strait (Southern Iberian Peninsula), the study measured MFs generated by HVAC cables and assessed their impact on soft-bottom macrofauna communities by comparing areas exposed to MFs with two control areas at different depths. Measured MF intensities were relatively low, with a maximum deviation from background levels of 34 nT near the cable, decreasing to 1 nT at 250 m distance.

Proposing an AI Passport as a Mitigating Action of Risk Associated to Artificial Intelligence in Healthcare.

The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offering benefits to patients and healthcare systems while also introducing new risks. The emphasis on patient safety and performance standards is pivotal, especially with the European Union's strides towards regulating AI through the AI Act. This act focuses on classifying AI systems based on risk levels, mandating stringent requirements for high-risk AI, enhancing transparency, and ensuring ethics in AI applications.

Exploring the Trade-Off between generalist and specialized Models: A center-based comparative analysis for glioblastoma segmentation.

Introduction: Inherent variations between inter-center data can undermine the robustness of segmentation models when applied at a specific center (dataset shift). We investigated whether specialized center-specific models are more effective compared to generalist models based on multi-center data, and how center-specific data could enhance the performance of generalist models within a particular center using a fine-tuning transfer learning approach. For this purpose, we studied the dataset shift at center level and conducted a comparative analysis to assess the impact of data source on glioblastoma segmentation models.

Squamous cell carcinoma of uterine cervix with osteoclast‑like giant cells: A case report.

Squamous cell carcinoma (SCC) is a common tumor of the uterine cervix, usually related to human papillomavirus (HPV). While osteoclast-like giant cells (OGCs) have been reported to be associated with tumors at various locations, to the best of our knowledge, only six cases have been reported in the cervix to date. The present study describes the case of a 38-year-old woman with a medical history of ectopic pregnancy and vaginal childbirth, who presented with coitorrhagia.