Results 151 to 160 of about 402,660 (356)
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
CellsDopaminergic neurons are the predominant brain cells affected in Parkinson’s disease. With the limited availability of live human brain dopaminergic neurons to study pathological mechanisms of Parkinson’s disease, dopaminergic neurons have been generated
Kirstin O. McDonald +6 more
doaj +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Molecular BrainMitochondrial dysfunction and abnormalities in mitochondrial quality control contribute to the development of neurodegenerative diseases. Parkinson’s disease is a neurodegenerative disease that causes motor problems mainly due to the loss of dopaminergic
Akihiko Nishijima +8 more
doaj +1 more source
Equine models in translational medicine: A comparative approach to human health
Animal Models and Experimental Medicine, EarlyView.This diagram summarizes and contrasts rodent and equine models, outlining their strengths, limitations, and applications. Horses offer naturally occurring diseases, genetic and physiological similarities to humans, and suitability for longitudinal and clinical‐scale studies.
Shayan Boozarjomehri Amnieh +1 more
wiley +1 more source
Fibroblast Transcriptomics in Molecular Diagnostics of a Comprehensive Dystonia Cohort
Annals of Neurology, EarlyView.Objective Genomic sequencing leaves >50% of dystonia‐affected individuals without a diagnosis. Where DNA‐oriented approaches remain insufficient, integrating multiomics is essential to advance genome interpretation. Herein, we incorporated RNA sequencing (RNA‐seq) data from 167 patients with dystonia across a range of ages and presentations. Methods We
Alice Saparov +42 more
wiley +1 more source
Annals of Neurology, EarlyView.Objective Biallelic variants in PRKN cause autosomal recessive Parkinson's disease (PD) with a median age at onset of 31 years. When evaluating the 16 previously published carriers of a homozygous deletion of Exon 2 from the International Parkinson's Disease and Movement Disorder Society Gene Database (MDSGene) database, the median age at onset is ...
Arian Hach +14 more
wiley +1 more source
Effects of tapentadol on pain, motor symptoms and cognitive functions in Parkinson\u2019s disease [PDF]
, 2018 Background: Pain is a common and undertreated non-motor symptom in patients with Parkinson\u2019s disease (PD). Opioids have been seldom used in PD because they could worsen cognitive and motor functions.
Freo, Ulderico +2 more
core
Annals of Neurology, EarlyView.Objective The extent of neuronal loss in Parkinson's disease (PD) and the pathogenic processes underlying neuronal dysfunction and loss remain poorly understood. Here, we analyzed the expression of key molecules representing different cell death signaling pathways and their association with Lewy pathology, dopaminergic (DA) neuron loss and stage of PD ...
Yue Jing Heng +3 more
wiley +1 more source
Neural Regeneration ResearchNumerous studies have shown that cell replacement therapy can replenish lost cells and rebuild neural circuitry in animal models of Parkinson’s disease.
Lin Feng +12 more
doaj +1 more source