Bayesian prior uncertainty and surprisal elicit distinct neural patterns during sound localization in dynamic environments.

Estimating the location of a stimulus is a key function in sensory processing, and widely considered to result from the integration of prior information and sensory input according to Bayesian principles. A deviation of sensory input from the prior elicits surprisal, depending on the uncertainty of the prior. While this mechanism is increasingly understood in the visual domain, much less is known about its implementation in audition, especially regarding spatial localization.

A novel machine learning based framework for developing composite digital biomarkers of disease progression.

Background: Current methods of measuring disease progression of neurodegenerative disorders, including Parkinson's disease (PD), largely rely on composite clinical rating scales, which are prone to subjective biases and lack the sensitivity to detect progression signals in a timely manner. Digital health technology (DHT)-derived measures offer potential solutions to provide objective, precise, and sensitive measures that address these limitations. However, the complexity of DHT datasets and the potential to derive numerous digital features that were not previously possible to measure pose challenges, including in selection of the most important digital features and construction of composite digital biomarkers.

RM Pressfit vitamys: the 10-year follow-up.

Introduction: The RM Pressfit vitamys is an uncemented, titanium particle-coated, isoelastic monoblock cup made of vitamin E blended highly cross-linked polyethylene. We addressed the following questions: (1) What are the clinical and (2) radiographic outcomes 10 years after implantation? (3) What is the revision rate?

Methods: In this prospective observational study in a tertiary care centre we investigated all consecutive cases of total hip replacement with the RM Pressfit vitamys cup between September 2009 and November 2011. It was implanted in 162 hips, 49.

Combined interdisciplinary treatment of metastatic bone lesions using 3D robot-assisted image-guided navigation : Embolization, biopsy, ablation, and surgery in one operative session.

Objective: To maximize local tumor control, stabilize affected bones, and preserve or replace joints with minimal interventional burden, thereby enhancing quality of life for empowered living.

Indications: Suitable for patients with bone metastases, particularly those with severe pain and/or fractures and appropriate life expectancy.

Contraindications: In primary bone tumors, refer to the sarcoma surgery team for evaluation of wide resection.