Text/Yangcheng Evening News all-media reporter Qian Yutu/Interviewee
AI technology is the gospel of lung cancer diagnosis and treatment? How can biotechnology be integrated with AI across borders? On August 26th, the 78th High-level Talent Exchange Conference and "Friday Black Tea Party" was held in Hengqin Guangdong-Macao In-depth Cooperation Zone. Ye Xin, director of the product development department of Zhuhai Hengqin Shengao Yunzhi Technology Co., Ltd. and head of the overseas R&D institution of tumor liquid biopsy, was invited to share that around AI to help diagnose the benign and malignant diagnosis of lung nodules, the participants jointly discussed more possibilities for the cross-border combination of biotechnology and artificial intelligence.
Early diagnosis and early intervention are the key to improving the overall cure rate of lung cancer
According to reports, lung cancer is the malignant tumor with the highest incidence and mortality in the mainland, and most patients are already in advanced stages when they are diagnosed. In China, there are nearly 800,000 new lung cancer patients every year, and 1 in 5 deaths dies of lung tumors, with a five-year survival rate of less than 20%.
"If you can do it with early diagnosis and early intervention, the 5-year survival rate of lung cancer patients can also reach more than 85%." If detected and operated on in phase I, the 10-year survival rate is over 95%. Ye Xin believes that early diagnosis and early treatment is the key to improving the overall cure rate of lung cancer, so the accurate diagnosis and treatment and scientific management of lung nodules are particularly important.
The Yangcheng Evening News all-media reporter learned that the challenge of early diagnosis of lung cancer still faces certain challenges. In the traditional imaging examination, the size of the detected lung nodules is used to determine the difference between benign and malignant, which is malignant lung cancer. However, early cancer already has a high metastasizing capacity, and traditional imaging tests have low sensitivity to nodules smaller than 10 mm, relying on doctors' reading experience, false positive examination results and other characteristics there is a risk of misdiagnosis and missed diagnosis.
"To complete an early diagnosis, it is necessary to be able to stably detect circulatory abnormal cells (CAC) associated with lung cancer in the blood and perform multidimensional analysis in conjunction with changes in CT images." Ye Xin introduced that for the early diagnosis of lung cancer, it is difficult to give a scientific diagnosis in a timely and accurate manner based on single-dimensional imaging examination. Because the significance of early lung cancer diagnosis is very clear and important, this has also become the premise and opportunity for AI technology to intervene in the early diagnosis of lung cancer as an auxiliary tool.
AI assists in tumor diagnosis
With the rapid development of AI technology in recent years, it has become more and more widely used in the field of medical imaging, especially in tumor imaging. The application of AI technology helps to improve the speed and accuracy of diagnosis by imaging physicians and pathologists, reduce the rate of missed diagnosis and misdiagnosis, and can avoid differences between physicians, reduce the workload of work, and have broad application prospects in lung cancer diagnosis and treatment.
"The tumor liquid biopsy technology that our company mainly researches is actually the use of AI technology to empower the early diagnosis technology of tumors." Ye Xin introduced that compared with traditional tissue biopsy, the advantage of liquid biopsy is that it is non-interventional and reproducible to obtain tumor samples, which has small side effects, simple operation, low cost, and fast detection speed, which reduces the deviation caused by tumor heterogeneity to diagnosis and can also respond to the dynamic changes of tumor development in a timely manner.
"The company's core technology is to be able to use the very rare tumor substances in human body fluids, such as tumor cells or free nucleic acids, to use the cross-border combination of biotechnology and artificial intelligence technology to isolate them from high purity and analyze and diagnose them." Ye Xin said that the CAC-AI analysis technology based on circulating abnormal cells developed by Sheng'ao Yunzhi and the CT-AI technology based on chest CT images can jointly complete the cytological and imaging discrimination of patients' lung nodules.
Compared with the traditional detection methods that rely more on professional detection equipment or testing personnel, ai-enabled early tumor diagnosis technology is more flexible. Ye Xin said that they linked the high-quality medical resources of the top three hospitals to create a mobile lung cancer early screening service station, which can be transformed into a "mobile health screening car" to cover areas with scarce medical resources. "Early screening and early diagnosis and early treatment of lung cancer for high-risk groups can bring high-quality diagnosis and treatment integration technology to the grass-roots people." He said.
Ye Xin's words also attracted continuous applause from the audience. Dr. Wang, who has been engaged in the medical industry for many years, told reporters, "Tumor early screening is a 'brain-burning' job, which requires doctors to maintain a high state of tension, and it is easy to get tired after a day of work." The emergence of AI-assisted can greatly improve the work efficiency of doctors and reduce missed tests and missed diagnoses. He expects more tech companies to develop products that are truly based on the needs of clinicians.
It is reported that the Hengqin Guangdong-Macao Deep Cooperation Zone High-level Talent Exchange Meeting and "Friday Black Tea Party" is hosted by the Economic Development Bureau of Hengqin Guangdong-Macao Deep Cooperation Zone and hosted by Zhuhai Dahengqin Development Co., Ltd., aiming to give full play to the resource advantages of high-level talents that have been introduced in Qindong and Macao, build a small and refined high-end talent exchange and cooperation docking platform, and realize the aggregation and integration of high-end resources in Qinao.
Source | Yangcheng Evening News Yangcheng Pie
Editor-in-charge | Zhu Jiale
Proofreading | Zhou Yong