Intel launches Precision Medical Partner Program
Recently, at the 2016 Intel Life Science Information Technology Forum, a bio-computing acceleration platform called GTX One appeared, which triggered a new view of the precision medical industry. This GTX One acceleration system fully releases the computing power of the FPGA through algorithm innovation, which is equivalent to compressing a supercomputer into a small box; an FPGA accelerator card can achieve the calculation of 60 high-performance Xeon CPU servers. Performance greatly reduces the computational time of bioinformatics data. In fact, through biometric data in conjunction with the medical industry, bio-medical industry is undergoing rapid development. The "Intel BioIT Partners" launched by Intel in Beijing is expected to complete a series of precise medical procedures such as gene sequencing -medical analysis-medical solutions within 24 hours by 2020.
Accurate medical treatment still needs to go through 1981
However, throughout the country, the current development of precision medical care is not always smooth, in fact, there are still many pain points in the entire industry.
The first problem facing precision medicine is the problem of data collection. For many users, the data of their personal health information is a confidential content, and they are not willing to disclose their health data to others. This has caused certain difficulties for precision medicine. The precision medical needs are based on a large amount of data. Without these data foundations, precision medicine is difficult to be precise.
The second problem is the cost of the problem. Similar to gene sequencing technology, its cost has been greatly reduced compared with before, but at this stage, it still does not reach the level of popularization, most of the precision medical projects need to pay high cost, which is for some Small medical institutions are difficult to bear. In addition, the price of drugs for gene detection and molecular targeted therapy is not cheap.
The third problem is that for doctors and many small and medium-sized medical institutions, if precision medicine becomes part of daily health care, these doctors need to have deep molecular genetics and biochemistry, they not only need to explain the results of genetic testing, but also It is important to understand how this information corresponds to later treatment or pre-existing prevention and to accurately communicate this information to the patient. A survey conducted by doctors at the Peking Union Medical College Hospital last year showed that doctors scored an average of 2.1 points (4 points out of 10) on genetics.
The fourth challenge is the payment of precision medicine. Whether the price of precision medicine can be accepted by ordinary people, this also needs to be considered. If most people can't afford precision medicine, then precision medicine will eventually be difficult to go to the mass market. In addition, whether medical insurance can cover precision medicine is also a crucial step.
The fifth challenge is how precision medicine differentiates the heterogeneity of patient populations. Even if it is separated, it needs to involve the cutting of the pharmaceutical industry. How to develop targeted and even genetic drugs for specific groups is not so easy, and the drug needs to be considered from clinical to application.
One of the most fundamental and fundamental problems faced by precision medicine is actually the technology itself. How to conduct more accurate analysis of big data requires more efficiency to achieve. For example, in the most mature NIPT field of genetic testing, it faces many problems such as precision, detection cycle, false negative and false positive phenomenon. This is also a common problem faced by precision medical care in all countries around the world.
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