The fact is that it is a process of empirical data and visualization as we have been doing for thousands of years, only we know that this herb can cure this disease. This herb for the disease, this is the experience, but this experience has no quantity, no further development, what we need is a process of visual experience, when you learn from the traditional ancient texts for the treatment of malaria with artemisinin has a certain influence, and on the basis of the continuous exploration to make the digital, visual experience of the production of artemisinin, can cure malaria to save the lives of millions of people. Finding the essence from the inheritance of experience and continue to carry forward is the data and visualization of traditional ancient books to bring people practical and surprising big data.

What more surprising applications of empirical data are there in modern medicine? There is.

What is the power of big data datamining? As we now know some of the links between genes and disease, it is determined that if suddenly sick, we do not know what causes the disease, but we can determine through the clinical manifestations of the disease, such as fever, diarrhea and other symptoms to determine certain genes can be formulated related to a number of possible genes, and then through the analysis of uranium enrichment, topology discovery module to determine the disease pathogenesis of the protein The disease-causing proteins can be found in existing drugs based on targeted therapies.

For example, in an outbreak, the clinical manifestations are fever and diarrhea. Then, the disease-causing proteins that cause the fever and diarrhea are targeted. The targeted drug treats the proteins that cause the fever and diarrhea. If it works, it will be studied further as an experimental drug to treat unknown diseases by continually experimenting with drug ratios or modifying the new drug.

Isn't the same approach true of Murray's efforts to improve his voyage routes by digitizing his logs and creating new charts?