Mal-ID: Precision diagnostics platform for autoimmune disease
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A blood test to "decode" the immune system to transform autoimmune disease care.
About the Technology
We envision a blood test to "decode" the immune system to transform autoimmune disease care. Over 50 million Americans suffer from autoimmune diseases, where the body mistakenly attacks itself. Current tests for diseases like lupus or rheumatoid arthritis are imprecise, and treatments are often 'one-size-fits-all.' This results in uncertainty for patients, delayed diagnosis, and ineffective therapies. We have developed a platform combining immunosequencing technology and machine learning that analyzes the targeting receptors on immune cells to reveal molecular signatures that correspond to autoimmune diseases and their severities. Support from Stanford University's HIT Fund will be critical in turning our research into a clinical tool to diagnose autoimmune diseases accurately, match patients to the best treatments, and help scientists design more targeted therapeutics.
Team Members
Publications
Maxim E. Zaslavsky, Erin Craig, Robert Tibshirani, Anshul Kundaje, Scott Boyd, et al. (2022) Disease diagnostics using machine learning of immune receptors. bioRxiv (preprint) 2022.04.26.489314.