machine learning
The digital pathology firm is working to further develop its diagnostic capabilities and broaden its menu of algorithms for different diseases.
The workflow relies on flow cytometry data coupled with a cell population detection method and a machine learning classifier to produce a diagnosis.
AI-Based Pathology Method Developed to Potentially Uncover Cancers of Unknown Primary Origin
Premium
In a paper published in Nature, Brigham and Women's researchers describe a novel computational pathology method to improve diagnosis and treatment of metastatic cancers.
CARB-X Awards GenomeKey Up to $9.5M to Develop Rapid Diagnostic Test for Sepsis
GenomeKey's technology combines methods to separate bacterial and human DNA, next-generation sequencing, and machine learning.
Delfi Diagnostics Starts Prospective Lung Cancer Screening Trial
The company is planning to commercialize its cancer early detection technology initially in lung cancer and is working with NYU researchers to explore future expansions.