Researchers developed a high-sensitivity proteomics method to analyze individual human muscle fibers. The technique identified 37 protein variations, including key contractile proteins and their ...
Discover how a nanoscale coating of zirconium sulfide can help to mitigate some of the performance drawbacks of NMC811 ...
Researchers have pinpointed a gene mutation associated with survival at high altitudes that could restore myelin to damaged ...
Researchers found that dupilumab improved skin barrier integrity and reduced inflammation in children with atopic dermatitis.
Researchers report that vaccine hesitancy is often driven by inequitable access and cultural mistrust. Expanding ...
In this Q&A, lead author Dr. Nanfang Pan explains how researchers used structural MRI, normative brain modeling, and machine learning to identify three ADHD biotypes. Each subtype showed distinct ...
As part of Technology Networks' continued celebration of the achievements of inspiring women in STEMM, we caught up with Prof. Heather Pinkett to learn more about her research into bacterial pathogens ...
Researchers mapped distinct cancer cell communities within supratentorial ependymoma tumors, showing how different cell types drive tumor growth, mobility, and interactions with the brain environment.
Researchers analyzed questionnaire data from nearly 500 participants and identified seven types of hyperarousal that occur across mental disorders including insomnia, anxiety, depression, PTSD and ...
Researchers developed DDINet, a deep learning model that predicts drug–drug interactions and their biological effects. The system performed well with unseen drugs and may improve safety in ...
Researchers analyzed nearly 8,000 patients stopping semaglutide or tirzepatide. Most patients maintained weight or continued losing weight after one year, often by restarting therapy, switching ...
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