Cloud can integrate scale to help doctors, research institutes, engineers to treat cancer

The writer is Solvebio founder and Stanford Genetics Doctor, Twitter account @markkaganovich. The combination of science and technology gathering biological data and the large scale of computing will launch a medical revolution. The understanding and treatment of disease requires a profound knowledge of human biology and diseased cells, until today, scientists want to obtain data to build normal cells and diseased cells model all need to do experiments, read the report, participate in the discussion meeting.

But with technological breakthroughs and data collection becoming scalable, medical research will undergo a structural technological shift. The combination of data and computers means that researchers will be able to access data that they cannot collect or remember, and clinics and laboratories will soon have a large amount of data, and treatment will be accelerated exponentially.

Research on new technology changes is still a major difficulty in collecting treatment data, and many observational studies have limited success because they are unable to gather enough useful information. If research is to develop faster, universities, hospitals and biotech companies must collect diagnostic data and integrate it with the results that can be used.

Over the past 10 years, the development of biotechnology has been describing a picture of how the new field of "Great biology" has become a reality, the rapid development of the scale and correctness of DNA sequencing has greatly improved our understanding of genes, but this is only the beginning, and the sequencing technology has a long way to go.

If one day, researchers can integrate data and find patterns, and because technology is getting cheaper, patients can detect more projects, such as the gene sequence and gene expression of each tissue, chromosome status, small molecules and metabolites, indigenous microorganisms, pathogens, etc. Anyone can create this database after patient consent: schools, hospitals, companies, the resulting data Tornado network will be huge, with lots of data and huge opportunities to emerge. How that data is integrated is the problem that cloud computing has to solve.

The cloud's relationship with the cloud provides the potential for data consolidation, and the cloud can create a value network for researchers, physicians, and entrepreneurs who specialize in the collection and integration of certain types of data. The true value of the data will be mined in an environment that analyzes all other available data, whether in a public cloud or in a private, secure environment.

For example, a start-up company, Solvebio, wants to use cloud computing to allow some large-scale analytical applications and integration tools to be used better and simpler, and new medical discoveries will benefit.

The biggest benefit should be cancer research, which, in a way, is that if you live long enough, you always get cancer because the cause of the cancer is that the gene regulation is out of control, and the cancer is complicated because it is produced by different cells and different lesions.

Cancer research = big biological cancer will be the ultimate big biological problem, there are tens of thousands of mutations and recombination of tumours, much more than normal tissue, and cancer cells may have different genomes in the tumor, many mutations are passengers without information, and some cells are drivers, resulting in uncontrolled cell proliferation, leading to cancer, In order to distinguish between "passenger" and "Driver", many mutant gene replication cases and controls need to be understood,

Gather a comprehensive picture of each patient's tumor to create a model that can study the deviation between normal and cancerous cells, it is very useful to develop treatment programs for doctors, treatment companies and so on, and imagine that if one day, each tumor is fully described, there is a lot of data needed in different areas of expertise, as well as quality control, model building, Explain, cancer treatment will be much easier?

Each of these cancers will vary by genome, proteome, metabolism, and small molecules. Today's technology will take two days for desktop computers with 16GB of memory to process the gene description data, which is just a genetic description, not including downstream data integration analysis to find out the relevance of the information. However, with the cloud, the job is much easier, just a distributed computing platform can be done.

We will learn more and more data from data integration to measure cancer cells, and the cloud can help doctors, research institutes and engineers treat cancer with unprecedented data consolidation.

(Responsible editor: The good of the Legacy)