J Natl Med Assoc
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To date there have been multiple clinical reports of pediatric patients with Williams Beuren syndrome developing non-Hodgkin lymphoma. However, there is no clear evidence of an association between this microdeletion syndrome and lymphoma risk and as of yet there are no recommendations for cancer surveillance in the follow-up of these patients. In this report we descibe two patients with Williams Beuren syndrome, both of whom were diagnosed with non-Hodgkin lymphoma, one at the age of 2 years and the other at the age of 6 years during clinical follow-up. Although Williams-Beuren syndrome is not a cancer-predisposing genetic syndrome, rare cases of malignancy have been reported in these patients, necessitating consideration of this fact during patient follow-up.
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Racial disparities in concerns and experiences with police-involved shootings among Colorado adults.
To assess prevalence of concern and experiences with police-involved shootings among Colorado adults and differential impact on sociodemographic groups. ⋯ Results highlight pervasive levels of concern with police-involved shootings, with highest rates of both concern and personal experiences among Black and Hispanic adults. These findings underscore the need for comprehensive and reliable data to understand police-involved shootings and concerns about police-involved violence among diverse populations and the impact on communities' health.
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The Medical Student Scholars for Health Equity in Myeloma Mentoring program is sponsored by the International Myeloma Foundation (IMF) and the W. Montague Cobb/NMA Health Institute's Cobb Scholars Program. The initiative focuses on mentoring minority medical students to enhance the representation of minority physicians committed to myeloma health equity. By supporting innovative projects aimed at reducing health disparities in myeloma, the program seeks to inspire medical students and address diversity gaps in the field.
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This study tackles creating Python code for beginners with generative AI and analyzing trends in mental distress among Alzheimer's patients in the US (2015-2022 CDC data). It guides beginners through using AI to generate code for visualizing these trends by age and sex. The findings reveal females, particularly those 50-64 years old, experience the highest rates of mental distress. This emphasizes the importance of considering age and sex when developing care and interventions for mental distress in Alzheimer's patients.