Age- and sex-specific care cascades to detect gaps in the care of children with tuberculosis in Bangladesh: a cohort study.

Background: Programmatic interventions to increase the detection of children with tuberculosis (TB) are rarely evaluated to understand age- and sex-specific completion rates. We applied modified TB screening and treatment cascade frameworks to assess indicators of effective implementation by age and sex of a TB screening program for children (zero to 14 years) in Bangladesh.

Methods: We implemented an intensified screening program for paediatric TB detection in 119 health care facilities (2018-21).

Effects of Intra-Canal Medicaments on Infrared Light Energy Transmission Through Enamel and Dentin During Photobiomodulation - An In Vitro Study.

Introduction: This in vitro study assessed how shade changes induced by endodontic medicaments affect the transmission of single and multiples wavelengths of infrared light through enamel and dentin.

Methods: Eighteen extracted single-rooted permanent teeth were prepared, removing all extrinsic staining, and cementum. Tooth slices were treated for 4 weeks with UltraCal™ XS, Ledermix™, or were untreated controls.

A Canadian real-world, multi-center, prospective, observational study assessing the treatment duration, the treatment sequence, and the overall survival for patients treated with endocrine therapy ± targeted therapy in HR + HER2-negative advanced breast cancer.

Purpose: Understanding real-world treatment patterns and their effectiveness in HR + HER2- advanced breast cancer (aBC) in Canadian patients.

Patient And Methods: This was a multi-center, observational, prospective cohort study including men and pre-/peri-/postmenopausal women with HR + HER2- aBC receiving endocrine therapy (ET) or ET + targeted therapy (ET + TT). The primary objective was duration of treatment (DOT) with ET and ET + TT.

Neuromorphic computing at scale.

Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints. With this research field at a critical juncture, it is crucial to chart the course for the development of future large-scale neuromorphic systems.

The Current and Future Burden of Long COVID in the United States (U.S.).

Background: Long COVID, which affects an estimated 44.69-48.04 million people in the U.