Patient characteristics and treatment patterns of patients with locally advanced or metastatic HER2-low breast cancer, a single site descriptive study.

Purpose: To evaluate the prevalence and characteristics of different HER2 categories among patients with advanced breast cancer (aBC) and describe treatment patterns and outcomes of those with HER2-low disease.

Methods: A retrospective cohort study was conducted via chart review at the Huntsman Cancer Institute, including patients diagnosed with aBC (stages IIIB, IIIC and IV) between 2010 and 2019. All patients with IHC1+ were considered HER2-low unless FISH was positive.

Breast Cancer is Increased in Women with Primary Ovarian Insufficiency.

Context: DNA damage/repair gene variants are associated with both primary ovarian insufficiency (POI) and cancer risk.

Objective: We hypothesized that a subset of women with POI and family members would have increased risk for cancer.

Design: Case-control population-based study using records from 1995-2022.

Defining blood hematology reference values in female pig-tailed macaques (Macaca nemestrina) using the Isolation Forest algorithm.

Background: Pig-tailed macaques (PTMs) are commonly used as preclinical models to assess antiretroviral drugs for HIV prevention research. Drug toxicities and disease pathologies are often preceded by changes in blood hematology. To better assess the safety profile of pharmaceuticals, we defined normal ranges of hematological values in PTMs using an Isolation Forest (iForest) algorithm.

Time and Note Characteristic Effects of an Electronic Health Record Template for Internal Medicine Resident Notes.

Inpatient internal medicine (IM) residents spend most of their time on indirect patient care activities such as clinical documentation. We developed optimized electronic health record (EHR) templates for IM resident admission and progress notes, with the objective to reduce note-writing time, shorten note length, and decrease the percentage of progress note text that was copy-forwarded from prior notes. In 2022, a multidisciplinary team created, over an 8-month period, optimized EHR templates for IM resident admission and progress notes.

Candida auris outbreak at a tertiary care hospital during the COVID-19 pandemic.

Background: Candida auris (C auris) is a fungal pathogen that has the potential for environmental persistence leading to outbreaks in health care settings. There has been a worldwide surge in C auris outbreaks during the COVID-19 pandemic. In this report, we describe an outbreak of C auris, its control, patient outcomes, and lessons learned.

A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms.

Purpose: To evaluate the performance of a biopsy decision support algorithmic model, the intelligent-augmented breast cancer risk calculator (iBRISK), on a multicenter patient dataset.

Materials And Methods: iBRISK was previously developed by applying deep learning to clinical risk factors and mammographic descriptors from 9700 patient records at the primary institution and validated using another 1078 patients. All patients were seen from March 2006 to December 2016.

Racial and Ethnic Diversity in Janus Kinase Inhibitor Alopecia Areata Clinical Trials: A Systematic Review.

Background: Alopecia areata (AA) is a chronic autoimmune disease that causes non-scarring alopecia. A few studies have shown increased odds of AA in Black individuals compared to White individuals and increased odds of AA in Latinos compared to non-Latinos. Another study showed that Asians have lower odds of AA compared to Whites.