Nano magnetic beads +ai: making liquid biopsy closer and closer to the heat-resistant temperature of polymer materials means that under a constant load
not long ago, the South University of science and technology - Silicon Valley apostle joint project was settled in Shenzhen. Its co founders are three doctoral multinational companies from Stanford University and Duke University in the United States. Ge Dongliang, Zhang Bo, Guo Xin, and Dr. Charles Kanter, academician of the American Academy of Sciences, served as consultants. This "luxury technical team" wants to make the liquid biopsy of cancer closer and closer in China
According to Dr. Ge Dongliang, the DNA of some solid tumor cells can be released into the peripheral blood, mainly through tumor cell apoptosis and exosomes. Cancer DNA diagnosis through peripheral plasma or other body fluids is a liquid biopsy technique that can be used as a routine physical examination item. Liquid biopsy technology, aimed at early screening of various types of cancer, is successfully detected in the early stage, and is accompanied by small-scale, controllable and highly efficient surgery. Both the world economic forum and Scientific American have listed liquid biopsy technology as one of the top ten emerging technologies in the world in 2017the existing technology faces two major challenges
tumor DNA can be used as an effective tool for early tumor diagnosis, but it must be accurately and sensitively detected. Ge Dongliang said that in this field, the international scientific research and industry have encountered a key challenge: the existing liquid biopsy technology cannot provide the accuracy required for early diagnosis when detecting tumor DNA in peripheral plasma
due to the unavoidable errors of high-throughput sequencing technology itself, it has caused insurmountable obstacles for current technology. Even if the current error rate is technically reduced by hundreds or even thousands of times, when it is used for early tumor diagnosis under extremely high multiplier sequencing, we still can't distinguish the difference between these accumulated errors and real tumor mutations, so we can't achieve effective early diagnosis
the primary challenge of the application of liquid biopsy technology in clinical practice is that the content and concentration of free nucleic acid in patients' body fluid are very low, and there are usually only a few nanograms to onehundredandtwohundred nanograms per 10 ml of blood. However, the existing nucleic acid extraction technology that many foam granulator enterprises do not pay attention to environmental protection in their production experience is 100 micrograms, and the extraction efficiency is not enough when used for very small fragments of nucleic acid substances in liquid biopsy. Due to the low content and concentration of free nucleic acids, the content of free nucleic acids from diseased tissues is lower. When the extraction efficiency is not enough, the detection quality cannot be guaranteed. Therefore, there is an urgent need for a comprehensive early screening research direction and platform to efficiently obtain free nucleic acids and amplify cancer information
international original methods to solve key problems
"our nano magnetic beads and artificial intelligent patents to prevent samples from being impacted twice are specially designed to solve these two key problems." Ge Dongliang introduced that the nano magnetic beads are a three-layer structure with a small diameter and a core coating special modification. It can not only completely and efficiently combine with very small fragments of nucleic acid in body fluid, but also perfectly and effectively release and release them in reverse. It can enrich more than 95% of very small fragments of nucleic acid, so it can capture tumor DNA with scarce content, and solve the world-wide problem of low capture efficiency of free nuclear acid at present
the screening of gene mutations in different tumors depends on artificial intelligence. Ge Dongliang told them that they had established a large database containing genome information of 35000 tumor patients, which covered more than 25 types of cancer, and designed a special computer algorithm. Its purpose was to train computers to identify effective mutations of tumors efficiently, high-speed and accurately and distinguish suspected mutations in the large database in the face of complex and heterogeneous gene group phenomenon sets through machine self-learning, Discard invalid mutations. Such logic, method and machine intelligent thinking system of machine self-learning and evolution can be applied to more unknown detection space, so as to completely solve the challenge of genetic heterogeneity of disease to detection. At present, this method is original in the international field
the joint project has now entered the industrialization stage. Ge Dongliang said that this cutting-edge "black technology" is no longer a laboratory paper, but a project that can be industrialized. Once this promising new technology is widely used, it will greatly improve the national economy and people's livelihood, and drive the industrial scale of 100 billion dollars for the country
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