New deep learning network structure methods continue to emerge, deep learning can choose different neural network architectures to study and classify different types of medical examination results, including whole genome sequencing result, medical imaging data, pathological picture, common laboratory indicators and patient written electronic health record. With the deepening of deep learning research in the field of medicine. However, the expensive cost of whole genome sequencing brings a greater economic and social burden and cannot be widely cited. In recent years, bioinformatics analysis methods based on whole genome sequencing have made great progress in the discovery of CM diagnosis markers, prognosis prediction, CM subtypes classification, and personalized treatment development. Therefore, the early diagnosis of CM is essential to improve the survival rate of CM patients and save lives, because the survival rate of CM patients depends on the stage of the disease at the time of diagnosis. But it still cannot change the poor prognosis of patients with advanced CM. ![]() Thanks to the application of immunotherapy and targeted therapy drugs, the survival rate of CM patients has been continuously improved. It is estimated that there will be 106110 new patients in 2021 and result in 7180 deaths. ![]() Cutaneous melanoma (CM) is the most dangerous type of skin cancer it is the fifth most common cancer in men and women in the United States.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |