Results 211 to 220 of about 3,038,884 (316)

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

Annals 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, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

A human-centered automated machine learning agent with large language models for multimodal data management and analysis. [PDF]

Front Artif Intell
Huang R, Tao S.
europepmc   +1 more source

FIRST DATA ON SOIL COLLEMBOLA IN THREE OLIVE ORCHARDS UNDER DIFFERENT MANAGEMENT SYSTEMS

Luca Giuga, Gabriella Lo Verde, Rafael Jordana, Enrique Baquero, Roberto Rizzo   +4 more
openalex   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Systematic data management for effective AI-driven decision support systems in robotic rehabilitation. [PDF]

Sci Rep
Tzepkenlis A, Camardella C, Germanotta M, Aprile IG, Mauro MC, Leonardis D, Frisoli A.   +6 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Streamlining large-scale genomic data management: Insights from the UK Biobank whole-genome sequencing data. [PDF]

Cell Genom
Li X, Wood AR, Yuan Y, Zhang M, Huang Y, Hawkes G, Beaumont RN, Weedon MN, Li W, Li X, Lin X, Li Z.   +11 more
europepmc   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source

High-content screening (HCS) workflows for FAIR image data management with OMERO. [PDF]

Sci Rep
Massei R, Busch W, Serrano-Solano B, Bernt M, Scholz S, Nicolay EK, Bohring H, Bumberger J.   +7 more
europepmc   +1 more source

Fog-IoPM: Fog computing for Internet of Plants data management

Yassine Boukhali, Mohammed Nabil Kabbaj, Mohammed Benbrahim   +2 more
openalex   +1 more source