Imagine This, You'Re At The Doctor’S Office For A Visit

1585 WordsApr 27, 20177 Pages
Imagine this, you 're at the doctor’s office for a visit and a test was done to you. The doctor comes back in the room with a melancholy look upon his face and he tells you that you have stage 4 cancer. You would be left devastated wondering what to do next. Not only you, but your family also is left in a dilemma. According to the National Cancer Institute, “In 2016, an estimated 1,685,210 new cases of cancer will be diagnosed in the United States and 595,690 people will die from the disease.” Cancer is an extremely serious disease that affects many people around the world. In the United States alone, cancer is the 2nd leading cause of death at 22.5 percent. Not only does this extremity take over your body by the uncontrolled division of…show more content…
Recently there is research being done to work on catching cancer way into the earliest stage. Detecting cancer in the earliest stage gives the person a much higher rate of survival and the answer to this possibility is nanoscience. For most diseases exosomes, extracellular vesicles that are released from cells upon fusion, can be a clear indicator that a person may have a disease. Exosomes are prevalent throughout the bodily fluids, ranging all the way from the blood to the urine and saliva. The problem today is that there is no automated system to rapidly sort the important exosome biomarkers. Joshua Smith announced at his Ted Talk “We 've created a technology that we call nano-DLD that is capable of precisely this: automated exosome isolation to aid rapid cancer diagnostics. Exosomes are the newest early-warning weapon, if you will, to emerge on the liquid biopsy front.” Cells communicate through the production and absorption of exosomes, which have protein 's, surface receptors, other genetic material. When exosomes reciprocate on to another cell it can be good or bad. The bad is where cancer comes into play. In order to detect cancer early, you have to frequently check for cancer, but unfortunately it 's hard to check often. “We 've come up with a different approach for achieving automated exosome isolation from a sample such as urine. We use a chip-based, continuous flow separation

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