AMPEL BioSolutions today announces a breakthrough in precision and personalized medicine that could modernize the way doctors treat patients across a wide variety of diseases including autoimmunity, infectious disease and cancer. Revealed at the Precision Medicine World Conference in Silicon Valley California, the first-in-class platform technology utilizes RNA analytics and machine learning to characterize an individual’s gene expression and provide clinical decision support to physicians for treatment options for their patients. The technology, only a concept for the last few years, is being utilized to launch a portfolio of 10+ clinical tests over the next five years to provide decision support for diseases that affect more than 50 million Americans.
Virginia Based AMPEL BioSolutions’ Machine Learning Breakthrough Predicts Drug Options for Inflammatory Skin Diseases
AMPEL BioSolutions today announces a breakthrough in precision and personalized medicine that could revolutionize the way doctors treat inflammatory skin diseases, such as Lupus, Psoriasis, Atopic Dermatitis and Scleroderma. Revealed in the peer-reviewed journal Science Advances, the paper details AMPEL’s breakthrough machine learning approach to characterize disease activity from gene expression data obtained from patient skin biopsies. 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 skin diseases that affect more than 35 million Americans.
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