Results 191 to 200 of about 285,421 (302)

Muscle Ultrasound Echo Intensity Detects Insulin Resistance Before Changes in HbA1c or Fasting Glucose, Independent of BMI

Journal of Ultrasound in Medicine, EarlyView.
Objectives To quantify the association between skeletal muscle echo intensity (MEI), measured by ultrasound, and clinical markers of insulin resistance and glycemic control, and evaluate MEI's diagnostic accuracy in identifying insulin resistance. Methods In this cross‐sectional study, 20 adults with obesity (mean body mass index [BMI] 34.4 ± 2.6 kg/m2,
Steven B. Soliman, Jacob E. Leuteneker, Olivia K. Chugh, Tao Zhang, Becca Tuska, Thomas Rode, Maria J. Sanchez, Eric D. Buras, Jeffrey F. Horowitz   +8 more
wiley   +1 more source

Left behind places, neoliberalism and systemic violence in the UK. [PDF]

Front Sociol
Telford L.
europepmc   +1 more source

Experiences of Drainage and Associated Impacts: A Qualitative Study Among Patients With Hidradenitis Suppurativa

JEADV Clinical Practice, EarlyView.
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, Bente Villumsen, Mina Shereen Khaled, Terri Shih, Steven Daveluy, Amit Garg, Susanne de Goeij, Barry M. McGrath, Peter Theut Riis, Kari Zalik, Jennifer L. Hsiao, Camilla G. Frederiksen, Noor F. Goandal, Hans Christian Ring, Joseph Dowsett, Rahul Masson, John R. Ingram, Gregor B. E. Jemec, Joslyn S. Kirby, Linnea Thorlacius, the HIdradenitis SuppuraTiva cORe outcomes set International Collaboration (HiSTORIC)   +20 more
wiley   +1 more source

Medical Student Perceptions of the Barriers to Entering Orthopaedic Surgery Differ by Gender. [PDF]

Clin Teach
Entezari B, Kerslake S, Mann S, Wolfstadt JI, Hopman W, Ferguson PC, Hiemstra LA.   +6 more
europepmc   +1 more source

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes, Sebastian Seurig, Theresa Willem, Marta Dechant, Stephan Traidl, Mina Kang, Pedro Marques Pinto, Annette Binder, Tilo Biedermann, Ulf Darsow   +9 more
wiley   +1 more source

Toward bridging the gap between machine intelligence and machine wisdom: Dilemmas and conjectures. [PDF]

Innovation (Camb)
Wang R, Liu S, Fan C, Li G, Huang J, Liu Z, Zhou G.   +6 more
europepmc   +1 more source

Overall Cumulative Burden of Hidradenitis Suppurativa: An In‐Depth Qualitative Examination

JEADV Clinical Practice, EarlyView.
This qualitative study examined the cumulative burden of Hidradenitis Suppurativa (HS) through in‐depth cross‐sectional interviews with 40 patients. The thematic analysis revealed five major concepts: challenging choices, prevalent negative emotions (fear, anxiety, depression), companionship (social support/isolation), life being ‘on hold’ due to ...
Burhan A. Buttar, Ainsley Ruley, Elizabeth Swain, Rithi J. Chandy, Patrick Perche, Sarah McCain, Milaan Shah, Stuti Prajapati, Shannon K. Moran, Shirley Parraga, Maya Clamp, Bettina Trettin, Rita O. Pichardo, Steven R. Feldman   +13 more
wiley   +1 more source

Self-Dehumanization Is Related to Worse Mental Health in Veterinarians. [PDF]

Healthcare (Basel)
Ellis A, Hawkins RD, Stanton SCE, Loughnan S.   +3 more
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
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, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

The Fortunes of Genomic Medicine: A Quarter Century of Promise. [PDF]

Ann Hum Genet
Sturdy S.
europepmc   +1 more source