Autism could be diagnosed with stool sample, scientists say: Researchers found differences in the gut microbes of autistic people, raising hopes for faster diagnosis
Machine Learning (ML) aids in diagnosing autism from stool sample: After using machine learning (ML) to analyze stool samples from children aged one (1) year to 13 years, researchers were able to distinguish autistic individuals from those that are neurotypical with 82% accuracy. This suggests that the microbiome might influence autism expression and offers the potential for new diagnostic tools and treatments, said Qi Su, Lead Researcher of the Nature Microbiology study.