Astronauts, war correspondents, cancer big data entrepreneurs can be seen from the experience, Li Xiaoxuan is a storyteller.
"Aerospace engineering is mostly used for military work, but I am very anti-war, so I have been a war correspondent in the United States for more than a decade." Li Xiaoxuan hopes to respect life. However, gradually, he felt: in the face of natural diseases, human respect for life is the most powerless.
When it comes to disease, it has to be said that cancer is the "culprit" of despair. According to relevant data, in 2012, 14.1 million cases of cancer were recorded worldwide. By 2035, the number of cancer cases worldwide will reach 24 million, an increase of 58%. Cancer is the most common form of disease, so we are also talking about cancer. This haze will cover more people, but at the moment we are unable to subdue them.
Li Xiaoxuan was also shocked by this huge number, so he decided to start a business and join the "anti-cancer team." Cancer is a fierce beast. Humans have been fighting against it for many years, and its methods are diverse. There are new drugs, innovative treatments, and emerging big data analysis companies. Among them, big data technology is in the early stage, but it is favored. The medical big data companies in the market have sprung up. The cancer doctor is also one of them.
The cancer doctor is Li Xiaoxuan's weapon to help more people compete with cancer. This is a medical service company that uses Internet and big data as the core and combines AI technology. It provides online cancer specialist consultation and offline cancer gene detection. The platform for cancer patients' follow-up of chemotherapy and AI data analysis can penetrate the chemotherapy process of cancer patients.
“80% of medical data is hidden in major institutions (hospitals, research institutes, testing, etc.) and there is no sharing. Secondly, every medical data collection has only limited data. Even if open research is conducted, often the data is insufficient. The role is limited." Like most medical big data companies, Li Xiaoxuan also saw the pain point of medical data. Therefore, opening up data barriers is a top priority.
However, because medical data involves personal information, it is not feasible to directly remove the hospital's data wall. Li Xiaoxuan believes that it is more appropriate to collect data from a subdivided application scenario based on service orientation. The cancer doctor is a cancer telemedicine platform built from the cancer chemotherapy scene and supported by Internet technology. “Anthropogenic negligence based on inappropriate medication has become the third leading cause of human death. Among them, cancer chemotherapy, for example, has the biggest challenge of poor drug response, large side effects, reduced quality of life and reduced life expectancy.†Li Xiaoxuan introduced this.
In order to reduce the side effects of cancer chemotherapy, it is more feasible that the doctor will carry out the relevant drug gene test when administering the drug to the patient, that is, whether the patient can take the drug. In order to verify, the hospital or the pharmaceutical factory needs to do a live mouse experiment, which takes about half a year. However, some cancer patients may not be able to wait for the results.
This kind of misfortune is very regrettable. Li Xiaoxuan also has difficulty to tolerate patients losing their lives or beliefs when they have a chance to improve, so he established a cancer medical data platform in an attempt to provide cancer patients with services during the chemotherapy process.
First, the cancer doctor will provide relevant genetic testing services to help patients with initial medication. The Cancer Doctor App then acts as a data collection tool to build a large database of cancer patient data. Through the App, doctors can remotely track and manage the medication response of chemotherapy patients, such as the patient's blood test, body weight and other changes. Patients can also conduct cancer specialist consultations online and communicate with doctors. "It's better to accumulate big data through effective services than to buy data like many companies." This is Li Xiaoxuan's thinking. Then, through the accumulation of these data, the platform can later implement AI-assisted doctors to make predictive analysis, helping more patients to more precise treatment. "There are hundreds of cancers, and you can't cover them all in the short term. So you can only learn more possibilities through AI analysis on limited resources." However, Li Xiaoxuan said that with data accumulation and machine learning, the platform Predictable possibilities will become more comprehensive and can reach more people.
"Doctors are not omnipotent. Medical data is either not available, or the amount of data is huge. It is very stressful for them to analyze the doctor's own efforts. And the technology can help them sort out a lot of unnecessary data. He judges again. Analysis can not be relied on." According to Li Xiaoxuan, AI technology is a "good helper" for doctors.
Through this closed-loop implementation, the time for patients to wait for medication testing will be significantly reduced, and the cost of cancer treatment will be reduced. For doctors, patients can also be managed remotely without worrying about the daily status of non-hospital patients. In addition, the cancer database will grow like a snowball. These data are very attractive to pharmaceutical companies, which can use this data to shorten the pharmaceutical cycle and reduce detours. However, the service premise of big data applications is to build a database large enough, and it is still in the data collection stage. Therefore, according to Li Xiaoxuan, the current business model of doctors is also considered to be realized in the form of third-party services, namely: providing testing services and building profitability of the Internet medical information platform.
Medical care is a "lonely" industry, with slower realization, more investment, and higher thresholds, so entrepreneurs must be "tolerated." Cancer doctors have not yet raised funds, but even without the help of capital, Li Xiaoxuan must stick to it. "The telemedicine statement is on the battlefield. Now I hope that AI and big data can now better empower telemedicine, so that cancer patients in remote areas can also feel the hope of life," he said.
Youth Biotech CO,. Ltd. , https://www.youtherb.com