Advanced Cell Models – News and Features

Researchers discovered that a fetus has a functional immune system that is well-equipped to combat infections in its developing nervous system, long before birth.

Researchers used glioblastoma-derived organoids to predict patient responses to CAR T cell therapy with remarkable accuracy. These organoids mirrored the tumor’s reaction to treatment in real time, offering insights into efficacy and neurotoxicity.

Japanese researchers developed a deep-learning AI model to predict organoid quality early in development, achieving 70% accuracy compared to less than 60% by experts. The model classifies organoids without genetic modification.

A novel lysosomal strategy shows potential for inhibiting virus infection in cell and lung organoid models.

The UniMat platform, developed by POSTECH and UNIST researchers, enables scalable and uniform organoid production using nanofiber-engineered membranes. This innovation ensures high-quality organoids for clinical applications.

New research has offered insights into how tumor shape can predict cancer cell behavior and aggressiveness.

Researchers developed a dual-AAV gene therapy for Usher syndrome type 1F, restoring hearing and balance in mice. The approach effectively delivered the large PCDH15 gene and showed promise in retinal organoids and nonhuman primates.

Tiny lab-grown models of human immune systems are helping researchers understand why cancer patients struggle to fight infections.

New research finds that turtle genomes show a chromatin arrangement that hasn't been observed in other organisms.

A study by EPFL shows how Pseudomonas aeruginosa manages the trade-off between biofilm formation for antibiotic protection and a mobile state to spread in the lungs.