EDS was established on the belief that in order to effectively fight disease, innovation must occur. With decades of research sitting in online databases such as PubMed, NIH, Gene Cards, Protein Atlas, European Molecular Biology Labs, and many others, new research tools are needed to organize and analyze these mass amounts of data points.
Testing one hypothesis or idea at a time is inefficient. The scientific method originated at a time of very limited data isolated in disconnected universities scattered around the globe.
Formulate
Hypothesis
Get an idea after reading hundreds of research papers
Design
Study
Procure materials and determine methods
Acquire
Results
Store results for later processing and analysis
Analyze
Results
Determine if hypothesis is proven
Input
Data
Derived from research papers, epigenetic data, and biological pathway info from databases around the world.
Prepare and
Analyze Data
Combine data into knowledge graph to uncover patterns and relationships
New Knowledge
Tested
Software programmed to determine selection criteria
Ready to
Optimze
Billions of hypothesis tested, only the most promising are reported.
The hard work of thousands of researchers worldwide over decades forms the input to the data funnel. What looks like discreet disconnected data points are sent in.
The resulting treatment options are the optimal combinations of non-toxic, safe for human consumption chemicals (supplements) to target the genes identified. Typically the combinations are 3-5 chemicals.