CHARLOTTESVILLE, VA – AMPEL BioSolutions today announces a breakthrough in precision and personalized medicine that could revolutionize the way doctors treat chronic diseases, like Lupus. Revealed in the peer-reviewed journal Nature’s Scientific Reports, the paper details our breakthrough machine learning approach to predict disease activity from gene data obtained from patient blood samples. The lab test, only a concept for the last few years, is now ready for development for practical use. AMPEL’s initial focus was Lupus, but the test can be used for many autoimmune or inflammatory diseases.
AMPEL’s innovative machine learning approach, which is now ready to be developed as a decision support biomarker blood test could greatly impact health care, by allowing physicians to identify the cause of patient disease symptoms and select appropriate treatment more precisely. The application of our machine learning approach could assist pharmaceutical companies in drug development and clinical trials.
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