NVIDIA and Harvard Create New AI Deep Learning Genomics Tool

Advances in artificial intelligence (AI) deep learning, genomics, and computing hardware is accelerating life sciences research and discovery. In a new study published today in Nature Communications, researchers from NVIDIA Corporation (NASDAQ: NVDA) and Harvard University's Department of Stem Cell and Regenerative Biology create an AI deep learning tool called AtacWorks that denoises genomic sequencing data and find areas with accessible DNA that may help speed up new diagnostics, de novo drugs, and treatments for diseases in the future. Early intervention and treatment of cancer and genetic diseases may make the difference in outcomes and requires early intervention. The challenge is that sample size of cell data may be small and the data itself may contain extraneous "noise." Having a way to filter and reduce the non-relevant data, or noise, and to boost the relevant data, or signal, in those cases can help speed up research.