RenalytixAI has developed an artificial intelligence clinical diagnostic that rates a person's chances of getting kidney disease.
RenalytixAI has developed an artificial intelligence clinical diagnostic that rates a person'ts chances of getting kidney disease.The company has also developed FractalDX, a lab-based AI tool that can predict the risk of adverse transplant outcomes, including early kidney rejection.
Medical experts are hoping 2020 will mark a turning point in the fight against kidney disease in America, thanks to advancing technology. Currently, the U.S. spends about $100 billion annually to treat the nearly 40 million Americans suffering from chronic kidney disease who need dialysis and organ transplants.
The diagnostic — developed in collaboration with the Mount Sinai Health System in New York City, which has 3 million patient health records and 52,000 biobank participants — uses machine learning algorithms to assess the combination of blood-based biomarkers and electronic health records information and other genomic information to identify progressive kidney disease in patients.
"This is an epidemic, and it is a silent killer, since symptoms don't appear until the disease is in the final stages and a patient needs dialysis and transplantation," says James McCullough, CEO of RenalytixAI. "Just look at the numbers — they are staggering. Some 100,000 Americans get put on kidney dialysis and the transplant list each year.
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