Predicting potential for problems

Medicine today focuses largely on diagnosing existent medical conditions and remediating them, typically with surgery, drugs, chemicals, radiation, or some combination thereof.  

Why wait for a problem to happen that you know will happen?  Most people don't die of old age or one disease or condition: most people die of multiple diseases or chronic conditions stemming from or exacerbated by the confluence of common root causes: decline of immune system function, oxidative stress, and chronic inflammation.   

We know diet and exercise can help mitigate these conditions.  But even people with good diets and exercise die of diseases medicine cannot cure because they lack immune system functionality to combat the disease, and medicine or drugs often impair the body's ability to fight for itself. Jack Lalanne died of pneumonia at age 95, in nearly perfect health until a fatal moment.  He wanted to live to 120, and believed he could through good exercise and diet.  Diet and exercise matter but have limitations.  Medicine helps but makes trade offs that further weaken the body's own immune functions.

What if we could better predict predisposition for disease?  What if we could address systemic issues that form the root cause of many symptoms we call diseases?  Heart disease, cancer, Parkinson's, dementia, Alzheimer's, Rheumatoid arthritis, sclerosis -- all inextricably linked to inflammation and aging of other tissues effected by declining immune function -- could be better predicted and better prevented from developing in the first place.

We hope in our study to develop indicators to predict potential for disease states before they occur, and treatment therapies to prevent those diseases from occurring at all.  Many of the blood tests we perform have predictive potential, and we hope to extend our test suite as we accumulate data and discover patterns of commonality with rich, big data sets.