4. How can this technology be applied to medicine?

There are multiple use cases.

In the world of medicine, there are projects, like Neuron, that have developed several interesting products in beta. These products will guide and teach users how to train their decentralized AI; in other words, how to train the trainer. Users will be able to see how to construct datasets of their health, and where and how to access these datasets.

Onboarding Module with Computer Vision

One product uses AI and ML to automatically fill in your physical statistics on the app just by taking a selfie. The Selfie2BMI module uses state-of-the-art Deep Neural Networks and optimization techniques to predict a variety of anatomic features including height, weight, BMI, age and gender from a face. Besides these vital anatomies, it also monitors 23 facial attributes like skin, receding hairlines, wrinkles, teeth and other attributes.

Blood Test Decoder

Another innovative use that Neuron has developed are deep conversational agents designed to enhance the post-blood test experience, enabling the user to discuss and answer any question on 400 blood biomarkers. It is trained on hundreds of thousands of medical documents and common FAQs to answer complex questions about blood results. The agent can personalize the conversation based on the user's age, gender and pre-conditions to provide relevant answers and educate using interactive content.

Genomics Test Decoder

A deep conversational agent designed to enhance the genetic counseling experience by providing answers from simple educational questions to complex personalized questions. It has a memory and remembers every visit and recommendation it has given. When it does not know, it goes to look for the answer in a massive dataset. It can also pass you on to its carbon-based colleague.

Medicine Decoder

An on-boarding module trained on medication dosage, side effects and other guidelines to answer personalized questions. It will be connected to the pharmacogenomic recommendation engine if genomic results are present.