Release date: 2015-09-28 According to foreign media reports, different patients with the same disease will have different curative effects when they receive the same treatment, which leaves a problem for doctors: how can they know which treatment method to treat? Which patient is most effective? If the doctor chooses a therapy that is appropriate for the patient, then he may regain health, but if the choice is wrong, his health may be completely destroyed. Now, researchers from Western universities in Canada will probably help doctors solve this problem. They developed a machine learning algorithm, one of the branches of artificial intelligence, to find the most likely effective treatment through genetic data analysis and to make the treatment more individualized. Peter Rogan, head of the study, said that because artificial intelligence can look at all the genes that affect each other, it is a very powerful predictor of drug outcomes, and said that the sooner the most effective drug is used, the patient is cured. The greater the possibility. The researchers used a set of 40 genes in this study, which are reported to be found in 90% of breast cancer tumors. At least 350 cancer patients who received the experiment received at least one of the chemotherapy drugs of paclitaxel or gemcitabine. Later, they let the system process the data and find out the relationship between the drug and the patient's genes. The results showed that the rate of treatment for both drugs was 84%, only 82% for paclitaxel, and 62% to 71% for gemcitabine alone. Now, the researchers intend to further optimize the algorithm, they will input more data for the system to improve the accuracy of the prediction. Source: Bio Valley Roasted Sunflower Seeds,Roast Sunflower Seed,Honey Roasted Sunflower Seeds,Honey Roasted Sunflower Kernels Inner Mongolia Xuanda Food Co., Ltd. , https://www.xuandagroup.com