According to the National Center on Birth Defects and Developmental Disabilities, approximately 1 in 6 children in the United States have developmental disabilities which include physical, learning, language or behavior-related disabilities. Students with disabilities often receive accommodations (how students access and learn the same content as their classmates) at school, but teachers rarely explain them to typically-developing classmates. Children with disabilities are increasingly included in general education classrooms alongside typically-developing classmates. Accommodations such as an adult helper to work one-on-one with the student, preferential seating, or extra time to navigate the school between classes ensure the success of many children with disabilities in these settings. When teachers do not discuss accommodations or their purpose with typically-developing classmates, those classmates may have to make sense of the accommodations themselves. The findings showed that with increasing age, children evaluated disability-related accommodations as increasingly fair. Older children also demonstrated greater understanding of how specific accommodations help to address specific needs, which might account for why they judged accommodations as fairer.  The research was featured in a new Child Development article with authors from Vanderbilt University, in the United States. 

First-of-its-kind platform for molecular diagnostics shows exactly how AI-generated PCR results are achieved - delivering transparency, trust, and CE-IVDR compliance. Diagnostics.ai has launched the first CE-IVDR certified transparent AI platform for molecular diagnostics, aligned with the EU's May 26 regulatory deadline. Backed by over 15 years of experience processing millions of samples, the PCR.AI platform offers real-time model monitoring, per-test auditability and algorithm transparency, empowering laboratories to meet compliance demands with clinically proven >99.9% diagnostic accuracy. Now available to clinical labs and manufacturers across Europe.

Artificial intelligence isn’t always a reliable source of information: large language models (LLMs) like Llama and ChatGPT can be prone to “hallucinating” and inventing bogus facts. But what if AI could be used to detect mistaken or distorted claims, and help people find their way more confidently through a sea of potential distortions online and elsewhere?