AI Deciphers Genetic Links to Mental Health Disorders

Researchers at Stanford University have used artificial intelligence to identify complex genetic variants that may contribute to psychiatric disorders like schizophrenia and bipolar disorder. The study highlights the role of genetic mosaicism, where mutations occur after fertilization, in these conditions. By analyzing the genomes of over 4,000 individuals, the AI tool achieved over 85% accuracy in identifying variants linked to brain function, offering new insights into the genetic basis of these disorders and paving the way for personalized medicine.