Results 221 to 230 of about 1,196,037 (307)

Research progress in animal models of dry eye disease: Types, mechanisms, and application prospects

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Pivotal multifactorial animal models for translational dry eye disease research. Abstract Dry eye disease (DED) is a prevalent and complex multifactorial ocular surface disorder, leading to significant visual discomfort and diminished quality of life.
Jinshen Liu   +12 more
wiley   +1 more source

Distinct Prescription Patterns Emerge Years Before ALS Diagnosis: A Nationwide Registry‐Based Study

open access: yesAnnals of Neurology, EarlyView.
Objective The prodromal phase of amyotrophic lateral sclerosis (ALS) is poorly defined. We aimed to characterize prescription drug use patterns in the pre‐diagnostic period by analyzing nationwide prescription data to identify the earliest divergence between individuals who developed ALS and matched healthy controls.
Magne Haugland Solheim   +6 more
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

open access: yesAngewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco   +6 more
wiley   +2 more sources

Genetic predispositions for anxiety disorders and major depressive disorder affect current dietary habits in older patients with lifestyle-related diseases. [PDF]

open access: yesInt J Neuropsychopharmacol
Ohi K   +8 more
europepmc   +1 more source

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova   +27 more
wiley   +1 more source

Use of Machine Learning to Identify Markers of Risk for Fragile X‐Associated Tremor/Ataxia Syndrome: A Preliminary Analysis

open access: yesAnnals of Neurology, EarlyView.
Objective The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X‐associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs). Methods We explored neuropsychological and motor evaluation metrics, brain magnetic resonance imaging ...
Chitrabhanu Gupta   +10 more
wiley   +1 more source

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