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RenalytixAI's flagship product is KidneyIntelX, which applies artificial intelligence to patient data to aid in the treatment of progressive kidney disease.
While it was developed and validated for brain tumor classification, the workflow could be extended to other cancers where intraoperative histology is valuable.
A JAMA study found that low-value diagnostic tests are common in inpatient settings, and machine learning systems can be used to identify those tests and reduce their overutilization.
The iPod-sized system integrates a microcontroller, a peristaltic pump, heparin injector, and microfluidic chip to capture tumor cells in a patient's bloodstream.
Clinical researchers at AACR discussed a wide range of approaches focusing on several different potential use-cases in the detection or assessment of early cancers.
A study of more than 5,000 breast cancer patients found that multi-gene sequencing has rapidly replaced BRCA1/2-only tests, resulting in better pathogenic variant detection but also higher VUS rates.
The firm has developed microbubbles that bind to target molecules based on surface antibodies.
The similar analytic performance of LDTs and FDA-approved tests informs the ongoing debate about the regulation of in vitro testing.
The results showed overall high concordance between test results and whether patients received chemotherapy, with some relevant exceptions.
Muneesh Tewari, a former Fred Hutchinson Cancer Research Center scientist who recently moved to the University of Mic