Personalized Medicine at our fingertips

Our Vector Model presents a paradigm shift which will lead the way for personalized medicine.  

One of the challenges of our current medical system is that the limited population data collected are applied to all individuals. These limited data come from a limited sample of patients, and individual patients may not be well represented by the patient samples we have studied. 

Patients get treatments based on clinical data that has only been tested on a small segment of the population that might not fit their own profile. This leaves doctors to do a lot of guesswork when it comes to diagnosing and treating patients. will take the guesswork out of patient data. 

Another example is that most drugs have never been tested in children. Advocacy groups have pushed to have more children included in clinical trials, but it has been difficult to enroll them in trials conducted by research centers and pharmaceutical companies. As a result, doctors use the adult indications for drugs when treating children and just halve the dosage or make other guesses about treatment. Our system can help tailor treatments to our most vulnerable patient populations; our children. 

One of the benefits of our paradigm shift is that the patient samples will become so large that they will approach the size of the entire population, making it possible for more personalized medicine. 

In addition, vector modeling will allow us to more information about individual patients. The bottom line is that there will be more data collected on more patients, which will allow us to identify risk more specifically than ever before. For example, we expect to be able to identify the risk adverse events associated with colonoscopy screening for an 86-year-old man in more detail than previously available.

This data mapping can help researchers and clinicians get access to new kinds of quality measurements. 

This is a marriage of data science and medicine.