An Open-Source Tool for Investigation of Differential RNA Expression Between Spinal Cord Cells of Male and Female Mice.

Chronic pain is a highly debilitating condition that differs by type, prevalence, and severity between men and women. To uncover the molecular underpinnings of these differences, it is critical to analyze the transcriptomes of spinal cord pain-processing networks for both sexes. Despite several recently published single-nucleus RNA-sequencing (snRNA-seq) studies on the function and composition of the mouse spinal cord, a gene expression analysis investigating the differences between males and females has yet to be performed.

A pilot study of metaproteomics and DNA metabarcoding as tools to assess dietary intake in humans.

Objective biomarkers of food intake are a sought-after goal in nutrition research. Most biomarker development to date has focused on metabolites detected in blood, urine, skin, or hair, but detection of consumed foods in stool has also been shown to be possible DNA sequencing. An additional food macromolecule in stool that harbors sequence information is protein.

Treatment trajectories among children and adolescents referred to the Norwegian National Center for Gender Incongruence.

Aim: We aimed to describe treatment trajectories, detransition and mortality rate among children and adolescents referred to the Norwegian National Center for Gender Incongruence (NCGI).

Methods: The cohort included all 1258 persons under 18 years at referral to the NCGI from 2000 to 2020. Trajectories were registered until end of 2023.

Application of artificial intelligence-based detection of furcation involvement in mandibular first molar using cone beam tomography images- a preliminary study.

Background: Radiographs play a key role in diagnosis of periodontal diseases. Deep learning models have been explored for image analysis in periodontal diseases. However, there is lacuna of research in the deep learning model-based detection of furcation involvements [FI].