One of my passions in life is helping to create MEDI+SWARM. MEDI+SWARM is a social health network that connects people with similar health conditions into communities to easily allow them to see top-rated solutions for their condition, ask questions and get real answers, and to post helpful ideas. While there are quite a few “social health networks” MEDI+SWARM is unique in that it leverages modern technology like machine learning to actually learn from users and improve their health. For example, if in a community of Crohn’s Disease and Arthritis, a user says that by eating salmon it reduces their joint pain and Crohn’s Disease symptoms, and other users agree with this, then the suggestion of eating salmon to reduce joint pain and Crohn’s Disease symptoms is analyzed by our learning machine. Our learning machine will then analyze that statement to realize and identify the components in salmon to see if there’s something known to reduce these symptoms. Bingo! The system will realize Omega 3’s and the fatty acids in salmon are known to reduce these symptoms. This information is realized back to the user and to researchers. This is just a simple example of what the learning machine can do! Just imagine the information it can learn from people who actually live with chronic disease on a day-to-day basis.
Another incredible feature we are working on is the capability of using IBM Watson Health to help answer questions asked by users. Imagine the ability to ask any and all of your health questions to IBM Watson Health, who will then reference medical journals and other information to bring you a real answer. It’s like having the power of a physician at your fingertips!
While MEDI+SWARM is still in development we hope to launch into our Beta soon. If you visit the site today you’ll notice the site isn’t quite ready yet. We are working diligently to bring MEDI+SWARM’s Beta MVP to production soon. If you have any feedback on our planned features, or something you would like to see happen, please feel free to share your feedback as it’s much appreciated.
Dylan B. Nelson 