Microbioma.org is the world’s first microbiome donor bank, established in 2017. The project has been designed and lead by a Computer Scientist, with the advice of top microbiome doctors and researchers from all over the world: Switzerland, US, Australia and the UK. We also have several volunteers involved in the project who have various autoimmune diseases. In many cases these illnesses such as CFS and MCS don’t even have an official medical recognition. Even in very severe cases, where they cause extreme health, social, working and economical problems to those suffering them, these individuals do not have the help of anyone. No doctors, no governments, no charities and no philanthropists.
The field of microbiome research has been progressing rapidly in recent years, and is showing great promise to have answers to most illnesses beyond current medical capabilities. There is substantial evidence in scientific papers and recent research that strongly links most health conditions to the gut microbiome composition. In most cases these diseases show up after big microbiome stressors such as infections, surgeries, drugs, antibiotics, dental procedures, etc., with different onsets (gradual or sudden).
The problem is that since the gut microbiome influences the entire body, you need FMT donors who are in perfect health and have ideal gut microbiome compositions. It’s currently looking like less than 1% of the population qualifies to be a high quality stool donor.
The goal of this project is to find these “one percenters” and connect them with doctors, researchers, clinics, clinical trials, and private individuals. To enable independent research teams to see how microbiome modulation affects and improves different health conditions. And to provide a good option for individuals who have none. In order to achieve this goal we need stool donors who are very healthy, fit, and have unperturbed, disease-resistant gut microbiomes.
The compatibility evaluation process is aimed to be integrated into an advanced study using Artificial Intelligence techniques and Machine Learning that enable the identification of basic compatibility patterns between receptor and potential donor, which is now the weakest point of this kind of technique due to the high complexity and massive amount of variables involved, ranging from DNA, to enterotype, blood type, active background infections and probably RNA and many other even unknown variables.
If you want to collaborate with our project, get in touch with us at firstname.lastname@example.org