Results 221 to 230 of about 58,213 (308)
Economic Burden of Generalized Pustular Psoriasis: A Population-based Register Study in Finland. [PDF]
Teitsma X +9 more
europepmc +1 more source
ABSTRACT Background There is a growing body of literature suggesting that GLP‐1 receptor agonists (GLP‐1RAs) may be associated with hair loss; however, primary literature is sparse. Additionally, it is not well‐established which types of hair loss may be associated with GLP‐1RA use. Objectives This study aims to assess associations between GLP‐1RAs and
Lauren M. Ching +2 more
wiley +1 more source
Rheumatoid arthritis in crisis: investigating the impact of stress on RA flares during the COVID-19 pandemic. [PDF]
Morris NT +6 more
europepmc +1 more source
This study provides an in‐depth account of patients' experiences of drainage as a symptom of hidradenitis suppurativa. The HIDE Scale© facilitates incorporation of these insights into clinical practice, supporting person‐centred approaches that enhance clinical assessment, reduce stigma, and strengthen patient–clinician communication.
Stine Thestrup Hansen +20 more
wiley +1 more source
Preinfusion Glucocorticoid Reduction and Elimination in Patients With Uncontrolled Gout on Pegloticase and Methotrexate: A Case Series. [PDF]
Albert J +3 more
europepmc +1 more source
Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry
Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley +1 more source
Psychodermatology of the Female: Hormones, Skin and Mental Health Across the Lifespan
Hormonal transitions across the female lifespan shape skin disease and psychiatric comorbidity through the brain–skin axis and Neuro‐Immuno‐Cutaneous‐Endocrine (NICE) network. This narrative review links puberty, menstruation, pregnancy, postpartum and menopause to dermatologic and psychosocial outcomes.
Sheila Sharifi +4 more
wiley +1 more source
Tracking B cell immunity during perturbation of hepatitis B infection induced by treatment withdrawal. [PDF]
Lens S +11 more
europepmc +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
Characteristics of JIA-associated uveitis at the age of transition. [PDF]
Raymond A +9 more
europepmc +1 more source

