Creating, Implementing, and Assessing an Elective Queer-iculum: Creating Change Agents Through Pharmacy Education.

Objective: This study aimed to detail the creation and implementation of a lesbian, gay, bisexual, transgender, queer or questioning, intersex, and asexual (LGBTQIA+) health elective course at a Hispanic-serving institution and assess its preliminary impact on Doctor of Pharmacy student attitudes and perceptions of LGBTQIA+ health care.

Methods: An 8-week course covering various topics related to LGBTQIA+ health care was designed and delivered to second- and third-year Doctor of Pharmacy students who voluntarily enrolled in the course from June to July 2023. As part of an institutional review board-approved pilot study, the enrolled students completed an electronic survey before and after the elective, assessing student pharmacists' perceptions of personal capabilities and attitudes as well as curriculum exposure for several LGBTQIA+ health care-related topics.

FAP-Targeted SPECT/CT and PET/CT Imaging for Breast Cancer Patients.

Breast cancer presents a significant global health challenge, necessitating continued innovation in diagnostic and therapeutic approaches. Recent advances have led to the identification of cancer-associated fibroblasts, which are highly prevalent in breast cancers and express fibroblast activation proteins (FAPs), as critical targets. FAP-specific radiotracers, when used with PET/CT and SPECT/CT, have significant potential for improving early breast cancer detection, staging, treatment response monitoring, and therapeutic intervention.

Cleft Lip Repair Comparison Between Inpatient and Outpatient Surgeries: A Multi-Surgeon Experience.

Objective: Great variability exists as to whether cleft lip (CL) repair is performed as an inpatient or outpatient surgery. This study's aim is to investigate the authors' institutional experience to see if there is an increase in complications, emergency department (ED) visits, or readmissions to the hospital when performed as outpatient.

Design: This study reviewed patients who underwent CL repair between 2012 and 2023 at the authors' institution.

Artificial Intelligence Models Are Limited in Predicting Clinical Outcomes Following Hip Arthroscopy: A Systematic Review.

Background: Hip arthroscopy has seen a significant surge in utilization, but complications remain, and optimal functional outcomes are not guaranteed. Artificial intelligence (AI) has emerged as an effective supportive decision-making tool for surgeons. The purpose of this systematic review was to characterize the outcomes, performance, and validity (generalizability) of AI-based prediction models for hip arthroscopy in current literature.