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 it the same way Murray improved his voyage routes by digitizing his logbooks and creating new charts?
How powerful is big data digitization? This is surprisingly true for big data engineers, and the fact that it's a process of empirical data and visualization is like Chinese medicine, which we've passed down for thousands of years, where we're the only ones who know that this herb can cure this disease, can you handle it? If you are still worried that your introduction is not smooth, you can also click on other articles on this site to learn.