Results 61 to 70 of about 706,908 (282)
Comorbidities of Primary Scarring Alopecias: A Retrospective Multi‐Site Cross‐Sectional Study
JEADV Clinical Practice, EarlyView.ABSTRACT Background To date, limited research has compared the systemic comorbidities of primary scarring alopecia types. Such research may provide insight into shared disease mechanisms, elucidate novel pathways for therapeutics, and identify those most at risk of comorbidities.
Arielle Carolina Mora Hurtado +7 more
wiley +1 more source
A rare cutaneous manifestation of systemic sclerosis
European Journal of Case Reports in Internal MedicineA 43-year-old male with a history of intravenous drug use and alcohol consumption presented to the emergency department with three-month history of failure to thrive.
Joelle Sleiman +3 more
doaj +1 more source
Prediction and forecasting models based on patient's history and biomarkers with application to Scleroderma disease [PDF]
arXiv, 2018 This paper aims at predicting lung function values based on patients historical lung function values and serum biomarkers in Scleroderma patients. The progression of disease is measured by three lung function indexes (FVC, TLC, DLCO). Values of four biomarkers (TIMP1, P3NP, HA, NT-proBNP) are available.
arxiv
Inner Ear Immunity and Audio‐Vestibular Dysfunction
Sensory Neuroscience, EarlyView.Diagram of the immune response of the inner ear and associated damage. ABSTRACT The inner ear is a critical sensory organ regulated by the immune system to maintain balance and respond to external stimuli. Immune cells like macrophages, lymphocytes, neutrophils, and natural killer cells play important roles in inner ear immunity. Inflammatory mediators,
Xiaofei Li +4 more
wiley +1 more source
arXiv, 2016 Medical researchers are coming to appreciate that many diseases are in fact complex, heterogeneous syndromes composed of subpopulations that express different variants of a related complication. Time series data extracted from individual electronic health records (EHR) offer an exciting new way to study subtle differences in the way these diseases ...
arxiv
Equivariant Filter Design for Kinematic Systems on Lie Groups [PDF]
arXiv, 2020 It is known that invariance and equivariance properties for systems on Lie groups can be exploited in the design of high performance and robust observers and filters for real-world robotic systems. This paper proposes an analysis framework that allows any kinematic system on a Lie group to be embedded in a natural manner into an equivariant kinematic ...
arxiv
EClinicalMedicine, 2023 Summary: Background: Systemic sclerosis is a heterogenous disease in which little is known about patterns of patient-reported symptom clusters. We aimed to identify classes of individuals with similar anxiety, depression, fatigue, sleep disturbance, and
Robyn K. Wojeck +108 more
doaj
Estimating AutoAntibody Signatures to Detect Autoimmune Disease Patient Subsets [PDF]
arXiv, 2017 Autoimmune diseases are characterized by highly specific immune responses against molecules in self-tissues. Different autoimmune diseases are characterized by distinct immune responses, making autoantibodies useful for diagnosis and prediction. In many diseases, the targets of autoantibodies are incompletely defined.
arxiv
A Guide to Screening for Autoimmune Diseases in Patients With Vulvar Lichen Sclerosus
Australasian Journal of Dermatology, EarlyView.ABSTRACTBackgroundThe aetiology of vulvar lichen sclerosus (VLS) remains unknown. However, there is evidence that in addition to a genetic predisposition, autoimmunity contributes to the pathogenesis.ObjectivesThe objective of this study was to determine the prevalence of autoimmune disease and positive autoantibody serology in patients with VLS ...
Annabel Guttentag +5 more
wiley +1 more source
A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes [PDF]
arXiv, 2018 In this paper, we propose a general framework for combining evidence of varying quality to estimate underlying binary latent variables in the presence of restrictions imposed to respect the scientific context. The resulting algorithms cluster the multivariate binary data in a manner partly guided by prior knowledge.
arxiv