Results 171 to 180 of about 3,587 (294)

In vivo differentiation of scarring alopecia using line‐field confocal optical coherence tomography: a pilot study

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and Objectives: Diagnosing cicatricial alopecia is challenging. Even with histology, a definitive diagnosis cannot always be made. Line‐field confocal optical coherence tomography (LC‐OCT), a non‐invasive imaging method with high resolution used in vivo, has proven helpful in diagnosing scarring alopecia.
Marie‐Christine Nutz, Julia Welzel, Daniela Hartmann, Lars E. French, Maximilian Deußing, Elke C. Sattler   +5 more
wiley   +1 more source

Ensemble fuzzy multilayer neural perceptron with optimized feature selection for cardiac disease prediction using MRI and ECG data. [PDF]

Front Physiol
Kiruthika JK, Thangaraj P.
europepmc   +1 more source

Age‐specific melanoma risk associated with nevi: a pooled analysis from the M‐SKIP project

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Objective This study investigates the association of melanoma risk with total‐body nevus count and the presence of atypical nevi in younger (< 40 years) and older (> 60 years) individuals. Methods A pooled analysis was conducted within the M‐SKIP project, based on multiple melanoma case‐control studies.
Giulia Doi, Aurora Gaeta, Simone Ribero, Nelleke Gruis, Julia Newton‐Bishop, David Polsky, DeAnn Lazovich, Paola Ghiorzo, Gloria Ribas, Chiara Menin, Alexander J. Stratigos, Gabriella Guida, Susana Puig, Maria Concetta Fargnoli, Peter A. Kanetsky, Paola Queirolo, Vincenzo Bagnardi, Veronique Bataille, Sara Raimondi, Sara Gandini, M‐SKIP study group   +20 more
wiley   +1 more source

Fuzzy masks: boosting radiomic reliability in head and neck tumors amid delineation uncertainty. [PDF]

Phys Imaging Radiat Oncol
Cao J, Zhang J, Teng X, Zhang X, Lam S, Zhou T, Zhang Y, Cai J.   +7 more
europepmc   +1 more source

Robustness of a neural network approved for skin cancer diagnosis against variations in sequential images

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background: Convolutional neural networks (CNN) for skin cancer classification have shown results comparable to dermatologists but are vulnerable to minor image transformations. We investigated the robustness of a MDR class‐IIa certified CNN when classifying sequential images of identical lesions.
Alicia Zimmermann, Julia K. Winkler, Katharina Kommoss, Anastasia Vollmer, Ferdinand Toberer, Alexander Enk, Albert Rosenberger, Holger A. Haenssle   +7 more
wiley   +1 more source

Matrix Quantum Mechanics and Entanglement Entropy: A Review. [PDF]

Entropy (Basel)
Fliss JR, Frenkel A.
europepmc   +1 more source

Sleep disturbances in children with cerebral palsy, their siblings, and parents: A qualitative descriptive study

Developmental Medicine &Child Neurology, EarlyView.
Children with cerebral palsy who experienced clinically significant sleep disturbances, their parents, and their siblings, were interviewed to understand the impact of sleep disturbance on the whole family. Six themes were identified, demonstrating the need for tailored, multidisciplinary, holistic sleep assessment and intervention, and family support.
Mary‐Elaine McCavert, Oliver Perra, Karen McConnell, Claire Kerr   +3 more
wiley   +1 more source

Development of a Neural-Fuzzy-Based Variable Admittance Control Strategy for an Upper Limb Rehabilitation Exoskeleton. [PDF]

Sensors (Basel)
Shi Y, Li K, Zhang Y, Wu Q.
europepmc   +1 more source

Psychosocial aspects of early detection in type 1 diabetes: Language matters, decision making and support needs

Diabetic Medicine, EarlyView.
Abstract Aim The potential implementation of early type 1 diabetes (T1D) detection pathways, encompassing autoantibody screening and longitudinal monitoring, raises important psychosocial considerations for ethical, person‐centred care. This review summarises evidence on the psychosocial impact of early T1D detection, identifying key evidence gaps and ...
Maartje de Wit, Laura Yvonne Klinker, Belinda Moore, Anna Boggiss, Lucía Feito Allonca, Mariam Asaad, Keely Bebbington, Bryan Cleal, Sasja Huisman, Per Winterdijk, Henk Jan Aanstoot, Christine Fransman, Elizabeth Holmes‐Truscott, Norbert Hermanns, Giesje Nefs   +14 more
wiley   +1 more source

A lightweight, end-to-end explainable, and generalized attention-based graph neural network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify autistics from typically developing. [PDF]

Netw Neurosci
Bhavna K, Ghosh N, Banerjee R, Roy D.
europepmc   +1 more source