Cell death by apoptosis induced by (Schott) Mez essential oil in different cancer cell lines.

Cancer is the second leading cause of death in the world. Plants from genus have been studied for their biological activities. Here we evaluated the antitumor activity of essential oil in several cancer cell lines and its phytochemical composition.

Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma.

Machine learning models are widely applied across diverse fields, including nearly all segments of human activity. In healthcare, artificial intelligence techniques have revolutionized disease diagnosis, particularly in image classification. Although these models have achieved significant results, their lack of explainability has limited widespread adoption in clinical practice.

Evaluating Large Language Model-Supported Instructions for Medication Use: First Steps Toward a Comprehensive Model.

Objective: To assess the support of large language models (LLMs) in generating clearer and more personalized medication instructions to enhance e-prescription.

Patients And Methods: We established patient-centered guidelines for adequate, acceptable, and personalized directions to enhance e-prescription. A dataset comprising 104 outpatient scenarios, with an array of medications, administration routes, and patient conditions, was developed following the Brazilian national e-prescribing standard.

Babinski-Nageotte syndrome after vertebral artery dissection and foramen arcuale.

Vertebrobasilar ischaemia happens for a myriad of reasons. Among the rarest is the existence of a foramen arcuale (FA). This condition results from the ossification of the lateral edge of the posterior atlantooccipital membrane, closing, completely or partially, the top of this groove, turning it into a foramen or a channel.