Results 221 to 230 of about 119,206 (312)

Clinical Impact of Rare Subtypes of Parathyroid Adenoma: A Systematic Review. [PDF]

open access: yesJ Pers Med
Martiradonna M   +5 more
europepmc   +1 more source

Patient Perceptions and Type 1 Delay in Head and Neck Cancer: A Scoping Review of High‐ and Low‐/Middle‐Income Countries

open access: yesLaryngoscope Investigative Otolaryngology, Volume 11, Issue 3, June 2026.
ABSTRACT Objective To identify and compare how patient perceptions contribute to Type 1 Delays, defined as delays in deciding to seek care, among individuals with head and neck cancer (HNC) in high‐income countries (HICs) and low‐ and middle‐income countries (LMICs).
Meredith A. Anderson   +10 more
wiley   +1 more source

White Adipose Tissue Browning and Cross Talk With Metabolic Diseases and Tumors: From Molecular Mechanisms to Clinical Translation

open access: yesMed Research, Volume 2, Issue 2, Page 280-308, June 2026.
White adipose tissue undergoes browning under endogenous and exogenous stimuli, primarily regulated by core molecules such as PRDM16 and UCP1. It exhibits a double‐edged sword effect in metabolic diseases and tumors: while mitigating metabolic disease impacts and suppressing early‐stage tumors through nutritional competition, it may accelerate cachexia
Yingjiao Wang   +12 more
wiley   +1 more source

A Case Report of a Special Type of Multiple Myeloma: Kappa Light Chain‐Only

open access: yesOrgan Medicine, Volume 3, Issue 2, Page 119-124, June 2026.
This case illustrates the clinical course of a patient diagnosed with kappa light chain‐only multiple myeloma, a rare subtype of multiple myeloma. Of note, light chain multiple myeloma is characterized by rapid disease progression and severe target organ damage.
Yanhua Dai   +8 more
wiley   +1 more source

Giant Parathyroid Adenoma Masked by Severe Vitamin D Deficiency with Hypocalcemic Presentation: A Case Report. [PDF]

open access: yesInt Med Case Rep J
Khalil B   +6 more
europepmc   +1 more source

Machine learning‐based predictive models versus traditional risk scores in hemodialysis patients with comorbid urolithiasis

open access: yesPrecision Medical Sciences, Volume 15, Issue 2, Page 80-90, June 2026.
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain   +4 more
wiley   +1 more source

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