Artificial intelligence (AI) is revolutionizing genomic medicine by providing better health outcomes. BBN Times explores two applications of AI in genomic diagnostics, including RCIGM’s rWGS®.
Rapid whole genome sequencing will become more useful, augmented by EHR data, the use of the cloud and comparisons with large databases, says Stephen Kingsmore, MD.
Babies with Fitz’s condition, commonly known as “bubble boy disease,” rarely survive to toddlerhood. He became one of the first babies anywhere to get a specific diagnosis within days of birth and an experimental therapy several months later that appears to have worked.
Project Baby Deer is allowing Bronson Children’s Hospital to diagnose genetic disorders in as fast as 30 hours; something that used to take nearly 30 days.
In 2021, the Genomic Medicine Working Group of the National Advisory Council for Human Genome Research of NHGRI identified its ten most significant peer-reviewed studies for 2021.
While it is safe to say that RCIGM has sufficiently proven its ability to identify the genetic variants driving many of these life-threatening rare conditions, it is now on a mission to bring its method of diagnosing sick babies to health systems across the country.
In its daily e-briefing for December 2, 2021, the Precision Medicine Institute reviewed the availability of Medicaid coverage for rWGS in Michigan, and the various state projects spearheaded by RCIGM that helped set the stage for Medicaid coverage.
While companies and investors have learned how to profit handsomely from rare diseases, they are still a healthcare desert to most people who suffer from them.
A “quiet revolution” has been underway over the past year, exponentially growing the number of genetic variants discoverable by genome sequencing, according to Stephen Kingsmore, M.D., president and CEO of Rady Children’s Institute for Genomic Medicine in San Diego. Notably, it is now possible to identify an enormous number of structural variants—large genomic alterations that […]
An artificial intelligence (AI)-based algorithm can quickly diagnose rare genetic diseases in critically ill children with high accuracy, allowing earlier treatment, according to a new report. “This study is an exciting milestone demonstrating how rapid insights from AI-powered decision support technologies have the potential to significantly improve patient care,” Dr. Mark Yandell, professor of human […]
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