A year and a half ago, Silicon Valley venture capitalist Vinod Khosla made a headline when he spoke at a conference. He said that in the next 10 years, data science and software will contribute more to medicine than all biological sciences add up. Washington Post recently published an interview with Vinod Khosla, and Vinod Khosla still believes in his judgment. The report is compiled as follows. Vinod Khosla's remarks have been widely disseminated in the world, and numerous endless blog posts have also carefully analyzed this. Many of the technical groups have made his speech a challenge. However, some people are annoyed at the idea that "technology can solve all problems." In an interview, Kholsa said that he still insisted on his own remarks - in fact, he has repeated these words many times - but admitted that they should be explained in more depth. "I firmly believe what I said," he explained. "But that doesn't mean that biological science is worthless." He said that due to the popularity of mobile technology and cheap computer hardware, human beings will make major breakthroughs in the field of health care , and individuals can control their health through sensors and data science. To achieve that goal, Kholsa, who has a net worth of $1.68 billion based on Forbes statistics, has concentrated part of its recent investment in medical technology: AliveCor can enable any smartphone to function as a clinical electrocardiogram to detect heart health. Status (Extended reading: [Overseas Internet Medical Entrepreneurship Case] ​​AliveCor from medical device manufacturing to data value mining); Cellscope, a home diagnostic tool that relies on camera functions on smartphones; and Misfit Wearables, which has become Fitbits and Jawbone Up two strong competitors for health tracking smart hardware. Since the first wave of controversy about his remarks in 2013, 60-year-old Khosla has been working on his own ideas and writing articles about this trend on a regular basis. “Sometimes, a lot of people can’t make the money,†Khosla, co-founder of Sun Microsystems, said, “so they decided to spend their time on more interesting challenges. When you can Why do you spend your time on useless things when you have more meaningful work?" Q: Which books or papers have influenced your thinking about the current state of the pharmaceutical industry? Much of what I think about begins with Dr. John Ioannidis's article at the Stanford School of Medicine. After decades of data research, he found that more than half of the medical research is clearly wrong... His research focuses on why these things are wrong and why many prejudices are brought into medical research and practice. Q: In what ways do you think technology will work? One company we invested in is Ginger.io. They are all from MIT data analysts who have developed a more sophisticated approach to the study of symptoms of mania and bipolar disorder. All they do is install an app on their phone to monitor your behavior. While self-feedback to individual behavior, they can also identify which groups need help. They adapted sensor data through well-engineered algorithms to better monitor depression and mental illness. If there is a problem, it can remind the nurse in time. It can also call a medical institution and check you. They can also help psychologists work. When a psychologist uses software, he can know which of his 300 patients are at risk today. Otherwise there is no other way to know this information. This is a very significant contribution. Using data science and additional sensors can make doctors more accurate and efficient, and that's just one example of the many companies in our portfolio. And over time, as these technologies mature, they can train doctors and nurses, and with the help of these technologies, a professionally lacking practitioner can do his job better than today's professional doctors. Therefore, with Ginger.io, after a period of time, the efficiency of nurses' care and care for patients can be increased by a hundred times than the current level. In cardiology, Alivecor uses your smartphone to record ECGs and interpret them through procedures that constantly monitor the patient's condition and detect the symptoms of atrial fibrillation in heart patients. In the otolaryngology department, the mobile phone microscope device can directly provide the endoscopic function, so that the most professional ENT medical resources can be focused on the most urgent patients, rather than wasted in daily otological examinations. In the field of radiology, Zebra also has similar functions. They collect a large amount of image data, improve the program and collaborative research, can automatically evaluate and quickly give a conclusion report, eliminating the anxious waiting for medical conclusions. It can improve the efficiency of radiology experts and focus on more critical cases. This is just a small part of the innovation we have seen. Q: Why do you think that accelerated innovation in the field of data science and software is enough to fight against biological science? Throughout the entire industry cluster, the software industry continues to lead innovation in other industries. In the innovation of traditional medical health (cross-biology science), such as the pharmaceutical industry, there are many reasons for their slow innovation cycle. It takes about 10 to 15 years to invent a new drug and bring it to market, which is accompanied by an unpredictable rate of failure. Security is a big problem, so I can't arbitrarily criticize this process. I think this is guaranteed, and the FDA's level of caution is also very reasonable. However, because Internet medical risks are usually less dangerous, it can be iterated in a period of 2 to 3 years, and the rate of innovation will increase dramatically. Q: What do you think about wearable devices and how does it work in our health care? The explosive increase in wearables is not the most important. On the contrary, the skyrocketing of available data is the key. As we have more and more wearables, they can continuously observe your mental activity, your stress levels and your emotional state. Every aspect of our lives begins to cross, and you can slowly understand how one aspect of your life affects another aspect, either intentionally or unintentionally. In today's state of use of devices and sensors, we can get a lot of valuable data on how physical health affects mental sensitivity. What if you have a certain data that ordinary people have? 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