A research team from Stanford University in the U.S. published a study in The New England Journal of Medicine. Leveraging a 48-sequencing-unit device produced by Oxford Nanopore Technologies and a cloud computing framework, they slashed the time required for human whole-genome sequencing to just 5 hours and 2 minutes. The fastest diagnostic process took a mere 7 hours and 18 minutes. This innovative technology harnesses long-read sequencing, NVIDIA GPU-accelerated Clara Parabricks algorithms, and Google's DeepVariant variant identification system to facilitate real-time data processing. In tests involving 12 critically ill patients, genetic diagnosis pinpointed the causes in 5 cases (42%), marking a 12% increase in the diagnostic rate over traditional methods. This groundbreaking achievement nearly halves the previous 14-hour record set by Texas Children's Hospital, earning it a Guinness World Record and paving the way for swift and accurate diagnosis and treatment plans for critically ill patients with genetic disorders.