Seeing the application of data in medical care from the big white mind

What is the future of the white?

Disney's "Super Marines" medical inflatable robots have become one of the most lovable images in the hearts of fans around the world. This oversized inflatable robot is actually a medical companion with the ability to recognize speech and body signs. Through a simple scan of the camera and other equipment, Dabai can detect the user's physical signs, health data and emotions, and can treat almost all diseases according to the degree of pain of the patient. In the animation, the protagonist Ahong fell into the water and was detected by the white, and his body temperature dropped, and he was hugged. At the same time, Dabai also adjusted its own temperature to improve Ahong's body temperature.

The eyes of the future are of course not only cameras for scanning, but also sensors that are ubiquitous. Today, sensors are as sophisticated as band-aids or watches, but in the near future, these devices can be embedded in our blood circulation system in the form of nanosensors. This is a sand-sized nanosensor that continuously monitors blood for initial indications of cancer, impending heart failure, or autoimmune diseases that may occur. They form the eyes of the ubiquitous white, and the prophets indicate our health. This will be the first real and real prevention in medical history.

The brain of the future is the key to any disease diagnosis, based on the current medical data . Remember "Watson"? It was the famous supercomputer that won the championship in 2011 in the video game "Jeopardy". David Gelernter's "Wall Street Journal" commentary "Coming Next: A Supercomputer Saves YourLife" introduces the concept of Wiki Watson . WikiWatson, the combination of medical literature and clinical experience around the world, and the use of large-scale databases to improve health care services is a hallmark of the digital world and the medical field.

In layman's terms, Dabai scans our vital data through the ubiquitous “eyes” and gives the most appropriate and correct treatment plan through the brain's medical big data. It can also help doctors, according to the patient's information, for a few seconds. Within, it will be combined with the latest research to tailor a variety of treatment options for patients, listed for the doctor's reference.

What is the application of the white brain? Without accurate big data, it is impossible to enter the real era of precision medicine . The country is still plagued by the standardization and low degree of openness of medical data. Let's look at some foreign application developments.

In May 2014, Google led a cancer big data company, Flatiron Health. This is the fourth largest investment project of Google Ventures and the largest pharmaceutical software investment to date.

Founded in 2012, Flatiron Health is aimed at a field of data analysis where few people are on the road – currently only 4% of cancer patients are involved in clinical trials, which means that 96% of cancer patients have treatment information Not easily available. What Flatiron Health is doing is collecting clinical and genetic data, patient treatment results, doctor's treatment notes, and fees, etc., and then presenting this information to oncologists to analyze the effects of past treatments and to study new treatments. About 1,000 oncologists are using data from Flatiron Health in the United States.

On February 12 this year, medical big data company Inovalon raised $600 million through IPO. Inovalon is a provider of big data analytics and solutions for the healthcare industry. Headquartered in Bowie, Maryland, USA, Inovalon has partnered with a number of commercial medical insurance companies, and Walgreen, a US drug chain, is one of its customers.

Inovalon has both a powerful database and a large-scale analysis platform, and applies the results of the analysis to medical treatment. Inovalon provides data analysis services to hundreds of medical health organizations in the United States and 98% of Puerto Rico. The terminal reaches 763,000 doctors, 257,000 clinical institutions, more than 121 million Americans, and 9.6 billion medical cases. The rich database lays the foundation for modeling. The foundation provides a strong package of solutions for the medical industry .

In March, Apple held a press conference. In addition to the dazzling Apple Watch and Macbook, Apple released a new software architecture, ResearchKit, which hopes to help more than 7 million iPhone users turn their phones into medical diagnostic tools. . Jeff Williams, senior vice president of Apple operations, said that the dilemma of medical investigations, lack of sufficient samples and participants, and insufficient data support, so Apple released Researchkit.

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