Results 221 to 230 of about 1,840,232 (265)

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati, Sami I. Nassar, Shaun A. Nguyen, Patricia L. Gerend, Michael C. Schubert, Michael T. Teixido, Frederick A. Godley, Joel A. Goebel, Cynthia A. Ryan, Habib G. Rizk, Amir Kheradmand   +10 more
wiley   +1 more source

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen, Ceren Tozlu, Tina Roostaei, Fatoumata Diallo, Kaho Onomichi, Jiyeon Son, Zongqi Xia, Philip L. De Jager   +7 more
wiley   +1 more source

A mathematical framework to correct for compositionality in microbiome data sets. [PDF]

Appl Environ Microbiol
Forry SP, Servetas SL, Kralj JG, Hunter ME, Dootz JN, Jackson SA.   +5 more
europepmc   +1 more source

Evaluation of a Cell-Based Potency Assay for Detection of the Potency of TrenibotulinumtoxinE^® (TrenibotE). [PDF]

Toxins (Basel)
Yang Y, Zhang H, Wang S, Xue Y, Yuan L.
europepmc   +1 more source

Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]

Sci Rep
Suchý I, Turčaník M.
europepmc   +1 more source

Machine learning prediction of germline <i>BRCA1/2</i> pathogenic variants in patients with ovarian cancer. [PDF]

BMJ Health Care Inform
Innella G, Erini G, De Leo A, Godino L, Caramanna L, Ferrari S, Miccoli S, Perrone AM, Zamagni C, De Iaco P, Turchetti D, Rucci P.   +11 more
europepmc   +1 more source

Percent difference in Precision-Recall AUC, sensitivity, and specificity for pooled models relative to eBird-only models.

Reid Rumelt (21680956), Carla Mere Roncal (21680959), Arianna Basto (12229850), Zuzana Buřivalová (21680962), Christopher Searcy (6880118)   +4 more
openalex   +1 more source