The last two articles of the 2016 Artificial Intelligence Medical Health Innovation Trend Report are mainly for artificial intelligence startups in the medical and health fields worldwide, and 74 start-up companies included in the statistical scope of this report. These startups are distributed in 11 areas including virtual assistants, medical imaging, drug discovery, nutrition, biotechnology, emergency room/hospital management, health management, mental health, wearables, risk management and pathology. We focused on eight areas to see how they applied artificial intelligence technology to the medical field.
Artificial intelligence has been widely used in the field of medical and health. From the application scenario, it is mainly divided into virtual assistant, medical imaging, drug mining, nutrition, biotechnology, emergency room/hospital management, health management, mental health, wearable. There are 11 areas of equipment, risk management and pathology. We focus on the first eight, including biotechnology, emergency room/hospital management, health management and mental health.
Biotechnology: Bringing better data processing
In biotechnology, artificial intelligence can give us better ways to process data. In China, artificial intelligence has been at the forefront of the world in the field of biotechnology, such as voice technology, biometrics, and even juxtaposed with developed countries. In China, the most famous artificial intelligence biotechnology startup is carbon cloud intelligence.
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Carbon Cloud Intelligence hopes to build a healthy big data platform, by collecting people's various biological data, and then building an artificial intelligence kernel model based on this data, and then docking it to do such an integration. Use artificial intelligence technology to process this data to help people do health management. The data source of Carbon Cloud Intelligence consists of two parts, some of which are acquired by their own technical capabilities and partly by partners. Genetic data, microbial data (intestines, mouth, skin, etc.), protein and metabolic data (urine, sweat, blood, etc.) are obtained by the core technology of the team. The main thing to do with carbon cloud intelligence is to combine biotechnology, life big data, artificial intelligence and the Internet.
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The founder of Carbon Cloud Intelligence comes from Huada Gene, but they did not choose the upstream sequencing industry of heavy assets, nor did they choose to re-operate downstream genetic testing for C-end services, but become the middle-end data integration, mining and analysis. Service provider. Through intelligent big data analysis, we propose interventions for unhealthy conditions to provide personalized solutions for medical, chronic disease management, beauty, and fitness.
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