Top big data application in healthcare industryBig Data-effective technology weapons against disease of the human speciesWe each mention of Big Data (data) as a tool for efficient energy management or a Prophet for the technology in the marketing support advertising, today we will continue to learn a role of Big Data to see the power of it : Savior of future medicine.Big Data technology in medicineAsadi's founder, as Chief Executive of Bina Corporation, the company specializes in the field of health care. The goal of the Bina is brought closer medical and match each person's condition. Here, the Big Data technology is applied to the analysis of genes, which help human genome sequence analysis in a few hours, instead of to downloads as before.Bina gave out the first commercial product after trial production phase. The platform built by Bina allows doctors, researchers detailed picture about the health of the patients. Based on that, the doctor may take out the diagnosis and prescribe the correct medicine for each patient.In an interview with VentureBeat, founder and Chief Executive of Narges Bani Asadi said: "this day medicine based on the experimental results. Previously, the overload caused by the same gene at more data pours into a crowded place. At Bina, we offer the fastest solution, the most accurate and cost effective as possible on the market. The next step is to use the data on this gene in modern medicine. Data-based medicine, information has advanced features for each object. What are the treatments for each patient with the various medical is synonymous with a quality life and better for human beings ".There are thousands of genetic disorders. In 2013, more than 580,000 Americans dying from cancer. Meanwhile, one of the 20 babies born in this country need to take special care to infants and 20% of infant deaths occurred from birth defects or chromosomal errors. However, the technology can be applied to stop this dangerous trend. Bina's role as the bridge between the gene sequencing technology and doctors so that they apply this technology into practice.Says Mark Sutherland, Vice President of business development for Spinach or: "The only medical university can study a few samples by going to quite complex and costly when implemented on a large scale research. There is a wave of data yet to be understood also as the doctor structure yet vital ".According to Mark: "we are witnessing the watershed. Decode the genome sequence is a very good way to keep track of a wide band gene from which launched the identification of the cause of each disease and conduct risk assessment, early detection or predict the possibility of a recurrence. This technology can also be used to produce treatments and fit each patient. "Asadi said her group to achieve breakthroughs in all stages of the genes to create effective solutions, can replicate. Bina's platform includes a hardware box to collect DNA, a high-end software data processing and applications to turn data into efficient tools for practices.Genetic analysis of package that currently takes several weeks or even many months and cost up to thousands of dollars. Meanwhile, Bina's solution packs quite a saving, consuming only 200 dollars for a model.This technology has been Dr. Asadi research at Stanford. She collaborated with many other professors from many places in the world to calculate capacity applications processed in high level architecture of the computer and to know more about health and human illness.Bina was established in 2011 by three professors from the University of California at Berkeley and Stanford. The company was caused by capital fund venture capital. The first clients included Gene science in Stanford University and Palo Alto Veteran's Hospital Affairs.New start-up companies usually don't set goals that will take advantage of the original cancer treatment or reduce infant mortality. However, when on a technology development, as well as the whole industry are the new progress of medical diagnosis and treatment based on the service data for each object will become true the next time.
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