Skip to content

AI-based glomerulosclerosis scoring method for rodents using deep learning

  • Allison Butt

Background & aim: Accurate assessment of glomerulosclerosis is essential for diagnosis, prognosis, and treatment of kidney diseases. Here, we developed a deep learning–based scoring method for glomerulosclerosis in PAS-stained kidney tissue. Additionally, we implemented an AI-based compartmental analysis to evaluate how…

Read more

Semaglutide improves metabolic and histological outcomes and reverses clinically relevant biomarker alterations in the GAN diet-induced obese and biopsy-confirmed mouse model of MASH

  • Barbora Krajnikova

Background & aim: The long-acting glucagon-like peptide-1 (GLP1) receptor agonist semaglutide was recently approved as the first GLP-1–based therapy for people with MASH and moderate-to-severe fibrosis. Clinical studies have demonstrated that semaglutide not only improves liver histology but also reverses…

Read more

Therapeutic efficacy, biomarker signatures, and translatability of semaglutide in the liver biopsy-confirmed GAN DIO-MASH mouse model

  • Henrik

Background & aim: Glucagon-like peptide-1 (GLP-1) receptor agonists have emerged as promising therapeutic candidates for metabolic dysfunction-associated steatohepatitis (MASH). Importantly, semaglutide was recently approved as the first GLP-1-based treatment for people with MASH with moderate-to-severe fibrosis. Translational models that recapitulate…

Read more
Back To Top