Subjective benefits from wearing self-fitting over-the-counter hearing aids in the real world.

Introduction: In 2022, the US Food and Drug Administration enacted final regulations to establish the category of over-the-counter (OTC) hearing aids aimed at reducing barriers to access hearing health care for individuals with self-perceived mild to moderate hearing loss. However, given the infancy of this device category, the effectiveness of OTC hearing aids in real-world environments is not yet well understood.

Methods And Results: To gain insights into the perceived benefit of self-fitting OTC hearing aids, a two-pronged investigation was conducted.

Psilocybin induces dose-dependent changes in functional network organization in rat cortex.

Psilocybin produces an altered state of consciousness in humans and is associated with complex spatiotemporal changes in brain networks. Given the emphasis on rodent models for mechanistic studies, there is a need for characterization of the effect of psilocybin on brain-wide network dynamics. Previous rodent studies of psychedelics, using electroencephalogram, have primarily been done with sparse electrode arrays that offered limited spatial resolution precluding network level analysis, and have been restricted to lower gamma frequencies.

Intravenous psilocybin attenuates mechanical hypersensitivity in a rat model of chronic pain.

There is a renewed interest in psychedelic drugs as potential therapeutic agents for the treatment of psychiatric disorders. In particular, psilocybin has shown promise for the treatment of refractory depression and major depressive disorder, and has also been explored as a treatment for tobacco and alcohol abuse. However, despite suggestive evidence, there has been no systematic study to investigate the effectiveness of psilocybin in attenuating indices of chronic pain.

Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol.

Introduction: Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a protocol for a scoping review, with the objective of summarising the existing research on machine learning clinical decision support system tools in the emergency department, focusing on models that can be used for paediatric patients, where a knowledge gap exists.

Materials And Methods: The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines.