Results 211 to 220 of about 4,883,203 (354)

A PANoptosis‐Based Signature for Survival and Immune Predication in Glioblastoma Multiforme

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective PANoptosis is a concept of total cell death characterized by pyroptosis, apoptosis, and necroptosis. We aimed to explore the clinical significance of PANoptosis‐related genes (PARGs) in glioblastoma multiforme (GBM). Methods Expression profiles of GBM were downloaded from the XENA database as a training dataset to construct a ...
Jun Yang   +4 more
wiley   +1 more source

Smart Wearable Technologies for Balance Rehabilitation in Older Adults at Risk of Falls: Scoping Review and Comparative Analysis. [PDF]

open access: yesJMIR Rehabil Assist Technol
Nairn B   +6 more
europepmc   +1 more source

In search of the most cost‐effective monitoring strategy for vestibular schwannoma: A decision analytical modelling study [PDF]

open access: hybrid, 2019
Mirre Scholte   +6 more
openalex   +1 more source

Serotonergic and Dopaminergic Function in Neuropsychiatrically Asymptomatic People With HIV on Antiretroviral Therapy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau   +12 more
wiley   +1 more source

Derivative-Free Direct Search Optimization Method for Enhancing Performance of Analytical Design Approach-Based Digital Controller for Switching Regulator [PDF]

open access: gold, 2019
Ghulam Abbas   +9 more
openalex   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope   +4 more
wiley   +1 more source

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