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Accurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally validated to predict 90-day and 1-year survival. External validation showed promise in the United States and Taiwan.

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Plantar sensation associates with gait instability in older adults.

J Neuroeng Rehabil

January 2025

Department of Mechanical & Aerospace Engineering, University of Florida, Gainesville, FL, USA.

Background: Advanced age brings a loss of plantar sensation, represented, for example, as higher sensation thresholds in standardized testing. This is thought to contribute to an increased risk of falls among older adults - an intuitive premise that has yet to be fully investigated, especially in the context of walking balance. The purpose of this study was to quantify the association between plantar sensation and the instability elicited by a suite of walking balance perturbations that differ in direction and context in a cohort of n = 28 older adults (73.

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Introduction: For lower extremity penetrating traumas (LEPT), the impact of race and insurance status, as a surrogate of socioeconomic status, is still not fully elucidated. This study aims to explore the relationship between these variables and the likelihood of receiving an amputation for LEPT to further identify disparities in trauma care.

Methods: We analyzed the 2017-2019 Trauma Quality Improvement Program databases to identify patients with LEPT.

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Background: The neuropathologies of Alzheimer's disease (AD) and Lewy body disease (LBD) commonly co-occur. Parkinsonism is the hallmark feature in LBD but it can be difficult to predict the presence of these co-pathologies early in the course of clinical disease. Timely diagnosis has crucial implications, especially with the advent of disease-modifying therapies.

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A lightweight prosthetic hand with 19-DOF dexterity and human-level functions.

Nat Commun

January 2025

Institute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei, 230026, China.

A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. Here, we develop a lightweight prosthetic hand that possesses biomimetic 19-DOF dexterity by integrating 38 shape-memory alloy (SMA) actuators to precisely control five fingers and the wrist.

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