At EDS, we know we need a more comprehensive strategy to attack a disease that has defied a cure for centuries despite modern medicine’s best efforts. Starting with a clean slate, EDS looked at cancer in an entirely new light. We asked the question; “Are there new opportunities, tools, or data that we could use to fight cancer”?
And while we started with fresh ideas, we knew that there was decades of data that could be looked at from different angles when combined with the newer epigenetic information. We pulled the latest data science, genetic and epigenetic information and constructed a state-of-the-art database of knowledge. From this we have developed 5 new approaches that differentiate us.
By leveraging data from around the globe, EDS has identified over 100 gene targets. Our philosophy is to overwhelm the cancer cells by widening the attack surface. In contrast, many chemotherapy drugs target only one gene, and one of the newest chemotherapy drugs for breast cancer targets only two genes.
Cancer is not just a disease where genes have “gone bad”, it is also one where good genes stop working. Most conventional therapies only look at half of the picture. At EDS we look at the full picture and boost healthy genes while simultaneously attacking the bad ones.
Extensive research has identified 8 features or hallmarks of a cell that must exist to be diagnosed as cancer. While chemo usually targets one hallmark, EDS wanted to attack each one, developing a 360 plan of attack. We quickly discovered that one supplement formulation could not be optimized. However, our data allowed us to see which hallmarks had similar genes involved and we were then able to group them into 4 distinct functions. The efficiency in our plans increased tremendously, giving us our 4-cycled approach.
To reach our goal of re-regulating tumor-suppressor genes and oncogenes, we created a state-of-the-art model rooted in data science. Using innovative data science tools such as data analytics, optimization, and machine learning, we process millions of data points in global research to find chemical interactions with every identified gene. We then developed a unique algorithm to optimize the most efficient grouping and timing of supplements that move the targeted genes in the desired directions.
Each hallmark is a series of events that occurs within a cell. This chain reaction of events is called a biological pathway. At EDS we look at each pathway and each gene’s role in the process. Through this process, we are able to identify dozens of additional gene targets that can be up or down-regulated to fight back against cancer.