Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published...
Artificial intelligence algorithms designed to detect diabetic eye disease may not perform as well as developers claim, according to a study published in Diabetes...
Analyzing genomic data from diverse populations could improve prostate cancer risk scores and enable early detection of the disease, a study published in Nature...
Machine learning and real-world data could help researchers identify new uses for existing drugs, leading to accelerated drug repurposing, according to a study...
Using genetic data from diverse populations could help researchers develop better risk prediction scores for inflammatory bowel diseases, such as Crohn’s disease...