TH17 cells produced increased amounts of SerpinB1, a protein implicated in multiple sclerosis symptoms. SerpinB1 cells were identified with antibodies targeting the CXCR6 surface protein. Using monoclonal antibodies to target CXCR6, the cells disappeared significantly, and the mice primed to develop MS did not develop the disease.
A machine learning algorithm can accurately detect abnormalities in pupil dilation, which are predictive of ASD, in mouse models. The AI can also detect if a female has Rett syndrome with 80% accuracy. The system could be used to detect autism in infants and toddlers.
ARGONet, a new approach that combines multiple data streams with artificial intelligence, produces the most accurate estimates of flu activity, up to a week ahead of traditional healthcare based reports.
Researchers have derived purkinje cells from patients with TSC, a genetic syndrome that includes some ASD-like symptoms. The cells, researchers say, have several characteristics that could help explain how ASD develops at the molecular level.
Researchers at Boston Children's Hospital have developed a therapeutic cocktail of molecules that restored fine motor skills in mice with spinal cord injuries. When applied to mice who had experienced stroke symptoms, researchers observed increased axon sprouting in subcortical areas.