Beyond the Operating Room: The Reality of Gender Disparities in Neurosurgical Education Starting in Medical School.

Objective: Despite the growing number of female medical students, there remains a significant disparity between the number of female and male neurosurgeons. This study aims to determine if this trend is also evident among medical students, examine how various medical schools worldwide are addressing this issue, and propose potential solutions.

Methods: The data includes anonymous baseline information from congress registrations, the abstract submission system, and 2 surveys designed to assess student experiences before and after the congress.

Identification of a Therapeutic Window for Neurovascular Unit Repair after Experimental Spinal Cord Injury.

Traumatic spinal cord injury (SCI) is a devastating condition for which effective neuroregenerative and neuroreparative strategies are lacking. The post-traumatic disruption of the blood-spinal cord barrier (BSCB) as part of the neurovascular unit (NVU) is one major factor in the complex pathophysiology of SCI, which is associated with edema, inflammation, and cell death in the penumbra regions of the spinal cord adjacent to the lesion epicenter. Thus, the preservation of an intact NVU and vascular integrity to facilitate the regenerative capacity following SCI is a desirable therapeutic target.

Conceptualisation and Implementation of a Competency-based Multidisciplinary Course for Medical Students in Neurosurgery.

The field of medicine is quickly evolving and becoming increasingly more multidisciplinary and technologically demanding. Medical education, however, does not yet adequately reflect these developments and new challenges, which calls for a reform in the way aspiring medical professionals are taught and prepared for the workplace. The present article presents an attempt to address this shortcoming in the form of a newly conceptualized course for medical students with a focus on the current demands and trends in modern neurosurgery.

Modelling dataset bias in machine-learned theories of economic decision-making.

Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bias.

Endovascular treatment of brain aneurysms under conscious sedation: a systematic review of procedural feasibility and safety.

Over the last decades, minimally invasive techniques have revolutionized the endovascular treatment (EVT) of brain aneurysms. In parallel, the development of conscious sedation (CS), a potentially less harmful anesthetic protocol than general anesthesia (GA), has led to the course optimization of surgeries, patient outcomes, and healthcare costs. Nevertheless, the feasibility and safety of EVT of brain aneurysms under CS have yet to be assessed thoroughly.