We are planning to use methods and information that have been tested in a lot of clinical trial and described in a articles at PubMed. For example, there is dependance between IFG-1 and aging of the body. And there are assumptions that a diet with low callorage can make your IFG-1 lower. So we developed a panel of biomarkers, that you should check before and after diet (we alreafy have a few). And if the assumptions above were right we will see correlation. So there will be no doubts, which of diet is best for most of us. And thats only one example of trials we want to develop.
How many members of the team worked as doctors or have a medical education?
Hello, thats a very relevant question! And thats a pleasure to give an answer. Personal in a team very much depends on a business model. Business models are quite different even in one sphere of biotech. When people talk about biotech startup, we always imagine scientists and doctors. Because they are The Opinion makers. If business model is "we discovered an injection which helps to stop caries" - team leader must be an ideologist of vaccine and leading scientist and probably no one practicing doctors, right. If business model is "client oriented high class clinic" - team will be represented with few well know doctors and no one scientist... what for? "A platform" business model in any sphere of business is more about tech, analytic and marketing members, obviously. For example AMAZON's team doest consist of the best sales mans. Theirs key competence is user friendly interface (tech) and wide coverage (marketers). Telemedicine platform the same.
Obviously we can't do anything without doctors and scientists. Thats why your question is so good and relevant. We've got scientists and doctors support as advisers, please check our list, its updating with new well known persons all the time. They are pretty happy with the idea, of course they understand the importance for science firsthand and importance for the population. The idea of our platform is something in the air. But important to be done as a next step in biotech science.
So the answer is: we have 3 eager science analysts, who research pubmed backwards and forwards and other sources. (Two of them are also do trials on model animals.) That gives us an opportunity to be up to date and do triple check. They do an algorithm, test it and control. Also team of tech professionals, AI specialisation is very important to a project. Thats why we have experienced team members and leading AI experts in our advisory board. Marketers and project managers is a must-have set now in any business model. Have i answered your question?