Results 161 to 170 of about 329,784 (215)

Precision Medicine in Neurodegeneration with Brain Iron Accumulation (NBIA) Disorders: An Update on Emerging Treatments

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Neurodegeneration with Brain Iron Accumulation (NBIA) is a heterogeneous group of heritable, mostly recessive, progressive neurodegenerative diseases characterized by iron deposition in the basal ganglia and brainstem. There are no solid global epidemiological data on prevalence and incidence of NBIA subtypes, but registry data and ...
Susanne A. Schneider   +3 more
wiley   +1 more source

Decoding Sleep Architecture from Ambulatory Basal Ganglia Signals in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Sleep architecture and circadian rhythms are frequently disrupted in Parkinson's disease (PD). BrainSense‐enabled neurostimulators combined with wearable technology enable chronic assessment of nocturnal brain activity, with potential for future diagnostics and personalized treatments. Objectives To neurophysiologically characterize
Alberto Averna   +15 more
wiley   +1 more source

Large Language Model Benchmarks in Medical Tasks

open access: yesMedicine Advances, EarlyView.
This survey provides a comprehensive review of benchmark datasets for evaluating large language models in medical tasks, spanning text, image, and multimodal modalities, and covering key resources including MIMIC‐III/IV, BioASQ, PubMedQA, and CheXpert.
Lawrence K. Q. Yan   +18 more
wiley   +1 more source

Standards for vision science librarians: 2026 review and revisions. [PDF]

open access: yesJ Med Libr Assoc
Edmonds H   +6 more
europepmc   +1 more source

Early Mpox Detection: Integrating Skin Lesion Imaging, Epidemiology, and Treatment for Deep Learning Approaches

open access: yesMedicine Advances, EarlyView.
Research papers utilizing publicly available, web‐scraped resources related to mpox—including news portals and datasets such as Monkeypox2022, Kaggle, and the Monkeypox Skin Images Dataset—demonstrate variability in accuracy. Our findings suggest that although deep learning models such as MobileNetV2, VGG16, and GoogLeNet report accuracy exceeding 95%,
Taskin Sabit, Faiza Tasnim
wiley   +1 more source

IGA‐POLLM: An Improved Genetic Algorithm for Prompt Optimization in Materials Literature Information Extraction

open access: yesMaterials Genome Engineering Advances, EarlyView.
An improved genetic algorithm is developed to automatically optimize prompts for materials literature information extraction. For corrosion‑inhibitor papers, IGA‑POLLM framework achieves an F1 score of 0.857, outperforming expert‐crafted prompts and randomly sampled prompts.
Hengju Xiang   +9 more
wiley   +1 more source

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