Head of Lipoprotein Analysis & Data Processing at numares
Finding metabolite constellations among hundreds of signals is not easy. We use machine learning to analyze study data together with NMR metabolite measurements to identify the markers that carry the most information about the disease in question and to build an equation that represents the metabolite constellation. This equation is then used as a diagnostic test in our products.
Machine learning comprises a number of methods within the field of artificial intelligence. Basically, these are very sophisticated statistical algorithms that use labeled examples of both healthy and sick subjects to identify the signals that separate the two (“learning the difference”). The resulting models from this metabolite constellation can then be used to predict if a patient is healthy or sick.
Our highly skilled statisticians ensure that the machine learning algorithms are used expertly. We complement this with the knowledge of our biochemists to guide the learning process with human knowledge. Combining the strengths of human and machine we ensure best possible results and allow our models to be understood by human experts like physicians.
numares' video tutorials aim at supporting users of the AXINON® System in installation, handling and maintenance of AXINON® Software, NMR (Nuclear Magnetic Resonance spectroscopy) hardware and diagnostic software-based test applications.
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Should you have any questions, please contact our Technical Support.