Looking at Genomic Sequencing data using Artificial Intelligence to help solve Chronic Lyme disease.
Could tick DNA opens the door to Lyme vaccine?
Our Lyme research is focused on taking genomic data and combining it with other biologically relevant data, including personal history, behavior, environment, and nutrition, and use machine intelligence to connect genes with traits. The obvious immediate payoff would be the ability to predict Chronic Lyme Disease and the appropriate interventions on a personal level. But it also foretells the future of computing and data driven medicine.
We have partnered with a U.S. technology company to help decode the genome relative to specific markers that may be associated with Chronic Lyme Disease using Machine Intelligencec software "Grace".
Grace uses a process called machine intelligence whereby our systems take in data, for example about a gene mutation, and then based on its extensive knowledge drawn from analyzing other data, interprets that information. This type of data driven medicine, the ability to predict the effects of the disease or a particular treatment or combination of treatments based on its analysis of hundreds of thousands of examples promises to greatly improve the speed and accuracy of diagnosis for genetic diseases or predispositions to them an unlock completely personalized treatments.
The problem is that despite spending $3.8Billion on the Human genome Project, we basically don't know much about what the genome does. The U.S. Government's Precision Medicine Initiative is focused on the heart health and cancer. Diseases like Alzheimer's which is at least partially explained by genetics is not part of the Initiative. The same is true for Chronic Lyme Disease. By analyzing data, Grace is able to see connections that are already known to doctors but hopefully help answer questions about unknown problems.
What we’ve accomplished:
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U.S. Ecological Advanced Research & Conservation Hub (USEARCH) was awarded its 501(c)3 status in 2016 by the Internal Revenue Service allowing for all contributions made to it be tax deductible.
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We've successfully partnered with Middlegate technologies and have use of their Grace software to begin our work of analyzing data around Chronic Lyme Disease.
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Our Research Team consisting of both medical doctors and members from Middlegate Technologies has been assembled.
We're gaining access to databases with information from patients suffering from Lyme Disease and building our own database of genetic profiles.
We secured first class laboratory space ideal for the type of research that the U.S. Ecological Advanced Research & Conservation Hub's team is engaged,