New AI Method for Diagnosing Autism

Researchers have developed a new AI method for diagnosing autism with 89 to 95 percent accuracy by analyzing genetic markers via brain imaging, potentially sparing families years of uncertainty and enabling earlier treatments.

Development of Blood Tests for Mental Health Disorders

Researchers at Johns Hopkins are developing a blood test to detect mental health disorders by analyzing genetic material in human blood. The study focuses on extracellular vesicles carrying specific mRNA linked to brain disorders, aiming to provide a non-invasive diagnostic tool. Another study by Cambridge University combines an online assessment with a blood test to diagnose bipolar disorder accurately. Additionally, scientists at Indiana University have created a blood test to measure anxiety objectively and identify effective treatment options. Yale University researchers have identified 170 genes linked to depression, potentially leading to a blood test for diagnosis and personalized treatment.