Cultivating cultural empathy among diabetes educators: A pre-post evaluation of a digital story intervention.

Indigenous Australians are disproportionately affected by diabetes, with a diagnosis rate nearly four times higher than people from a non-Indigenous background. This health disparity highlights the urgent need for healthcare providers to develop cultural empathy - a critical competency for delivering culturally safe and person-centered care. Cultural empathy is essential for building trust and effective communication in diabetes education and management within Indigenous people.

Caring for people living with dementia and their informal caregivers: Current perspectives in Malaysia.

As dementia has been declared a global health crisis by the World Health Organization, this perspective paper aims to shed light on the cuerent stata of dementia care in Malaysia. The paper firsc outlinea eeveral barriers to dementia care in Malaysia. The shortage of geriatric specialists hampers the accessibility of dementia caee avd resceerces.

Characterizing the urobiome and associated metabolic profiles during acute rejection in renal transplant patients: A pilot study.

Characteristic alterations in the urinary microbiome, or urobiome, are associated with renal transplant pathology. To date, there has been no direct study of the urobiome during acute allograft rejection. The goal of this study was to determine if unique urobiome alterations are present during acute rejection in renal transplant recipients.

Noninvasive Electrical Modalities to Alleviate Respiratory Deficits Following Spinal Cord Injury.

(1) Background: Respiratory dysfunction is a debilitating consequence of cervical and thoracic spinal cord injury (SCI), resulting from the loss of cortico-spinal drive to respiratory motor networks. This impairment affects both central and peripheral nervous systems, disrupting motor control and muscle innervation, which is essential for effective breathing. These deficits significantly impact the health and quality of life of individuals with SCI.

Machine Learning for Early Detection of Cognitive Decline in Parkinson's Disease Using Multimodal Biomarker and Clinical Data.

: Parkinson's disease (PD) is the second most common neurodegenerative disease, primarily affecting the middle-aged to elderly population. Among its nonmotor symptoms, cognitive decline (CD) is a precursor to dementia and represents a critical target for early risk assessment and diagnosis. Accurate CD prediction is crucial for timely intervention and tailored management of at-risk patients.