Results 171 to 180 of about 363,947 (345)

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu   +9 more
wiley   +1 more source

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen   +5 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Drawing oriented metabolic pathways and networks

open access: yes
Traditionally, metabolic pathways have been depicted manually or semi-automatically, a process that is often time-consuming and requires substantial manual adjustments. As biological data has expanded exponentially, the need for more scalable and comprehensible visualisation methods has become increasingly important.
openaire   +1 more source

Identifying cellular metabolic pathways with label-free imaging and neural networks

open access: yesScilight
Machine learning identifies individual cell metabolism from fluorescence lifetime images for informing cancer treatments and immune therapies.
openaire   +1 more source

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron   +5 more
wiley   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang   +10 more
wiley   +1 more source

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