由于癌细胞本身不是外部侵入的病菌，而是人体自身的问题细胞，因此免疫系统很难对癌细胞识别和清除。
The immune system has a hard time recognizing and fighting cancer because the enemy is not an invading germ but our own cells gone rogue.
在测试集中，正常细胞的识别率为96%，LSIL细胞识别率为94%，HSIL细胞识别率为100%，癌细胞识别率为88%。
In testing set, the recognition rate was 96% in normal cells, 94% in LSIL cells, 100% in HSIL cells, and 88% in cervical cancer cells.
他们将研究目标确定为训练免疫系统识别和攻击携带这些肽链的癌细胞。另外，该疫苗也将含有提高免疫反应的物质。
The goal is to train the immune system to recognize and attack cancer cells bearing these peptides; the vaccine would also contain substances designed to boost immune response.
一些癌细胞逃避识别并继续引发癌症。
Some tumour cells escape identification and go on to cause cancer.
他们的技术已经能够识别病人的癌细胞进入到哪个阶段，从而判断出治疗后复发的可能性。
Their technique can already identify how advanced a person's cancer is, and thus how likely it is to return after treatment.
你的免疫系统对识别和摧毁非正常和潜在癌细胞至关重要。
Your immune system is critical to identifying and destroying foreign and potentially cancerous cells.
系列产品进入人体后均具有保护白细胞、杀灭并清除癌细胞和病毒及细菌的识别功能。
Series products have the protection of human white blood cells, to kill and remove cancer cells and viruses and bacteria identification.
伦敦圣乔治大学的科学家们正在研究一种血液测试，即通过DNA标记物来识别出那些脱落进入血流当中的前列腺癌细胞。
Scientists at st George's, University of London, are working on a blood test that USES DNA markers to identify prostate cancer cells that are shed into the bloodstream.
癌细胞有五种类型的蛋白质能够识别并同TRAIL分子结合，但只有两种类型的蛋白质能够触发癌细胞死亡。
Cancer cells have five types of proteins that recognize and bind to TRAIL, but only two trigger cell death.
伦敦圣乔治大学的科学家们正在研究一种血液测试，即通过DNA标记物来识别出那些脱落进入血流当中的前列腺癌细胞。
Scientists at st George's, Uniersity of London, are working on a blood test that USES DNA markers to identify prostate cancer cells that are shed into the bloodstream.
为了提高识别癌细胞的稳定性与有效性，系统采用了一种细胞分割与分类的分层处理结构。
To improve the stability and efficiency of the recognition of cancer cell, a hierarchical processing architecture is adopted for the segmentation and recognition of cancer cells.
为了提高系统识别癌细胞的稳定性与有效性，我们采用了一种细胞分割与分类的分层处理结构。
To increase the stability and efficiency of the detection of the cancer cells, we adopt a hierarchical processing architecture for the segmentation and recognition of cancer cells.
促进免疫系统识别和靶向癌细胞的免疫疗法迅速成为癌症研究中最令人激动的癌症研究领域之一。
Immunotherapies which boost the immune system to recognise and target cancer cells have quickly become one of the most exciting areas of cancer research.
讨论了通过利用细胞图象中的形态学信息对肺癌细胞进行识别和检测的方法。
This paper discusses a method of recognizing the lung cancer cells by utilizing the information in the Cytological image.
结果细胞按正常、低度和高度鳞状上皮细胞、癌细胞进行分类识别，训练集与测试集识别率分别为98.29%、96.57%。
Results Normal imbricate epitheliums and LSIL and HSIL and cancer cells were recognized and classified, the recognition rate of training set was 98.29%, the recognition rate of test set was 96.57%.
方法制备特异性识别肺癌细胞的鼠单克隆抗体，通过细胞免疫化学和ELISA方法检测抗体与痰液中脱落细胞的反应情况。
Methods a murine monoclonal antibody against lung cancer cells was developed and characterized with the techniques of ELISA, immunohistochemistry and immunocytochemical detection of sputum.
该抗体识别的抗原CPS1可表达于肺癌细胞的细胞膜，可能是一个肺癌靶向治疗的新靶位。
CPS1, the antigen of 1e2, locates on the membrane of lung cancer cells and it may become a novel molecule target for lung caner therapy.
该抗体识别的抗原CPS1可表达于肺癌细胞的细胞膜，可能是一个肺癌靶向治疗的新靶位。
CPS1, the antigen of 1e2, locates on the membrane of lung cancer cells and it may become a novel molecule target for lung caner therapy.
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