Development and validation of an LC-MS/MS method for quantifying total and unbound doravirine in human plasma.

A robust LC-MS/MS method was developed to quantify total and unbound doravirine in plasma samples from patients receiving daily doses of 100 mg doravirine, in combination with lamivudine and tenofovir disoproxil fumarate, in a phase 3 clinical trial. The trial is ongoing, and sample analysis is planned to commence once all samples have been collected. The method was validated to quantify both total and unbound doravirine using a single calibration curve.

SMCHD1 genetic variants in type 2 facioscapulohumeral dystrophy and challenges in predicting pathogenicity and disease penetrance.

The molecular diagnosis of type 1 facioscapulohumeral muscular dystrophy (FSHD1) relies on the detection of a shortened D4Z4 array at the 4q35 locus. Until recently, the diagnosis of FSHD2 relied solely on the absence of a shortened D4Z4 allele in clinically affected patients. It is now established that most FSHD2 cases carry a heterozygous variant in the SMCHD1 gene.

Prevalence and sequelae of asymptomatic Clostridioides difficile colonization in children with inflammatory bowel disease.

Colonization by Clostridioides difficile is common in children with inflammatory bowel disease (IBD) and complicates both the management of IBD and the diagnosis of C. difficile infection (CDI). There is a paucity of data on rates, risk factors, and outcomes associated with asymptomatic C.

Self-Management Support Apps for Spinal Cord Injury: Results of a Systematic Search in App Stores and Mobile App Rating Scale Evaluation.

Background: The use of mobile technology to meet health needs, widely referred to as mobile health (mHealth), has played a critical role in providing self-management support for chronic health conditions. However, despite its potential benefits, mHealth technologies such as self-management support apps for spinal cord injury (SCI) have received little research attention, and an understanding of their public availability is lacking. Therefore, an overview of these apps is needed to complement findings from the literature for a complete understanding of mHealth self-management support tools for SCI to support the selection and improvement of existing apps and the development of new ones.

Application of Artificial Intelligence in Symptom Monitoring in Adult Cancer Survivorship: A Systematic Review.

Purpose: The adoption of artificial intelligence (AI) in health care may afford new avenues for personalized and patient-centered care. This systematic review explored the role of AI in symptom monitoring for adult cancer survivors.

Methods: A comprehensive search was performed from inception to November 2023 in seven bibliographic databases and three clinical trial registries.