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A novel computational approach to pain perception modelling within a Bayesian framework using quantitative sensory testing.

Pain perception can be studied as an inferential process in which prior information influences the perception of nociceptive input. To date, there are no suitable psychophysical paradigms to measure this […]

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Gene expression signature of human neuropathic pain identified through transcriptome analysis.

Neuropathic pain is a type of chronic pain that is characterized by ongoing discomfort and can be challenging to manage effectively. This study aimed to identify genes associated with neuropathic […]

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Network-based modelling of mechano-inflammatory chondrocyte regulation in early osteoarthritis.

Osteoarthritis (OA) is a debilitating joint disease characterized by articular cartilage degradation, inflammation and pain. An extensive range of and studies evidences that mechanical loads induce changes in chondrocyte gene […]

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Decreased degree centrality values as a potential neuroimaging biomarker for migraine: A resting-state functional magnetic resonance imaging study and support vector machine analysis.

Misdiagnosis and missed diagnosis of migraine are common in clinical practice. Currently, the pathophysiological mechanism of migraine is not completely known, and its imaging pathological mechanism has rarely been reported. […]

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Headache classification and automatic biomarker extraction from structural MRIs using deep learning.

Data-driven machine-learning methods on neuroimaging (e.g. MRI) are of great interest for the investigation and classification of neurological diseases. However, traditional machine learning requires domain knowledge to delineate the brain […]

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