Results 171 to 180 of about 390,159 (364)
Sera from patients with motor neuron disease and associated paraproteinaemia fail to inhibit experimentally induced sprouting of motor nerve terminals. [PDF]
Michael Donaghy, L. W. Duchen
openalex +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Background In amyotrophic lateral sclerosis (ALS), neurofilament light chain (NfL) was introduced as a prognostic biomarker. More recently, NfL values can be shared on the patient’s ALS app.
Lukas Maximilian Möhwald+16 more
doaj +1 more source
Differentiating lower motor neuron syndromes [PDF]
Lower motor neuron (LMN) syndromes typically present with muscle wasting and weakness and may arise from pathology affecting the distal motor nerve up to the level of the anterior horn cell. A variety of hereditary causes are recognised, including spinal
Cornblath, DR+12 more
core
K Ray-Chaudhuri, P N Leigh
openaire +2 more sources
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
The Relationship between Clinical Picture and Serum CPK Levels in Motor Neuron Diseases
Michiko Ogawa
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Key Trends and Insights in Smart Polymeric Skin Wearable Patches
Intelligent polymers, which respond to various physical and biological stimuli, are explored for the development of skin wearable patches in biomedical applications. Smart polymers, also known as intelligent or stimuli‐responsive polymers, play a crucial role in the development of advanced wearable patches due to their versatility and softness.
Sergio J. Peñas‐Núñez+2 more
wiley +1 more source