CHARACTERIZATION OF PLASMA METABOLITES AND PROTEINS IN PATIENTS WITH HERPETIC NEURALGIA AND DEVELOPMENT OF MACHINE LEARNING PREDICTIVE MODELS BASED ON METABOLOMIC PROFILING

Characterization of plasma metabolites and proteins in patients with herpetic neuralgia and development of machine learning predictive models based on metabolomic profiling

Herpes zoster (HZ) is a localized, painful cutaneous eruption that occurs upon reactivation of the herpes virus.Postherpetic neuralgia (PHN) is the most common chronic complication of HZ.In this study, we examined the metabolomic and proteomic signatures of disease progression in patients with HZ and PHN.We identified differentially expressed metab

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Behaviour of Parallel Coupled Microstrip Band Pass Filter and Simple Microstripline due to Thin-Film Al2O3 Overlay

The X-band behaviour of a seven-section parallel-coupled microstrip band pass filter brazmallows hyde flavor and microstripline due to thin-film Al2O3 overlay of different thickness is reported in this paper.This Al2O3 film can give a homogeneous overlay structure.There is a substantial increase in the bandwidth due to the overlay, the pass band ex

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An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)

Machine learning has been leveraged for image analysis applications throughout a multitude of subspecialties.This position paper provides a perspective on the evolutionary trajectory of practical deep learning tools for w insta saree genitourinary pathology through evaluating the most recent iterations of such algorithmic devices.Deep learning tool

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