Huge DNA Library Helps Identify Cancer-Causing Mutations
Researchers have developed a method that uses big data to scan thousands of DNA samples and find cancerous mutations in cells.
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Researchers have developed a method that uses big data to scan thousands of DNA samples and find cancerous mutations in cells.
Artificial intelligence and machine learning are among the latest tools being used by cancer researchers to aid in detection and treatment of the disease.
INDIANAPOLIS—A large data analysis led by Indiana University School of Medicine Professor Benjamin Gaston, MD, shows a rare respiratory disease called
Hearing loss is a common sensory deficit in humans with intricate genomic landscape and mutational signature. Approximately 1 - 3 out of 1,000 newborns have hearing loss and up to 60% of these cases have a genetic etiology. In this study, we conducted the concurrent newborn hearing and genetic screening in 20 mutations in GJB2, GJB3, SLC26A4 and MT-RNR1 for 9,506 normal newborns (4,977 [52.4%] males) from 22 ethnic population in South China. A total of 1,079 (11.4%) newborns failed to pass the initial hearing screening, 160 (23.9%) infants failed to pass the re-screening, and 128 (1.4%) infant...
An international team of researchers, led by scientists at University of California San Diego and Shiley Eye Institute at UC San Diego Health, has broadened and deepened understanding of how inherited retinal dystrophies (IRDs) affect different populations of people and, in the process, have identified new gene variants that may cause the diseases.