AMPEL BioSolutions 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.
AMPEL’s innovative machine learning approach, which is now ready to be developed as a clinical decision support biomarker test, could greatly impact health care by allowing physicians to identify the cause of patient disease symptoms and select appropriate treatment more precisely. AMPEL‘s approach is sufficiently sensitive to detect early signs of disease and group patients by the severity of their condition. The application of AMPEL’s technology is already assisting 15+ pharmaceutical companies in drug development and clinical trials.
Patients with autoimmune and inflammatory diseases often suffer from unpredictable disease activity that impacts daily activities like work and family life. Since unpredictable symptoms often result in trips to the Emergency Room, the ability to predict worsening disease and systemic involvement with routine testing has important health care and health economics implications. AMPEL expects to bring it’s first two products to market in the next few years, LuGENE® blood test for Lupus and DermaGENE® skin biopsy test for Psoriasis, Atopic Dermatitis, Scleroderma and Lupus. In addition, AMPEL’s CovGENE® blood test that predicts how severe a disease course a COVID patient may experience and may be applicable to “long COVID” is ready for licensing/co-development with a company already offering COVID diagnostic testing.
Paired with AMPEL’s pipeline of tools to analyze very large and complex clinical datasets (“Big Data”), AMPEL’s Genomic Platform technology with machine learning is a significant step towards implementing routine testing to monitor disease activity and provide decision support for treatment based on a patient’s gene expression. This will transform the way doctors treat patients by using the information gathered by the lab test and analyzed by machine learning to diagnose, characterize the precise molecular abnormalities and treat diseases before damage begins, saving patients from pain and inconvenience of diseases that otherwise drastically affect their lives.