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Using data to solve biological problems
PhD student Gavriel Olshansky‘s research is at the intersection of mathematics and medical science finding better ways to identify patterns in large biological data sets that can help us pinpoint markers of disease.
Gavriel is one of the first students to be enrolled in the new Baker Department for Cardiometabolic Health at the Melbourne Medical School, a partnership between the Baker Institute and the University of Melbourne. While his background is in mathematics and statistics, he is no stranger to the lab, starting at the Institute two years ago, first as a volunteer and then as a bioinformatician.
Published: Dec 16, 2020 By Joseph Constance
A healthy immune system defends the body against disease and other conditions. However, if the immune system malfunctions, it can attack healthy cells, tissues and organs. Autoimmune disease impacts different parts of the body, weakening functionality. It may be life-threatening.
Researchers are aware of more than
80 diseases that occur when the immune system attacks the body’s own organs, tissues and cells. The more common autoimmune diseases include type 1 diabetes, rheumatoid arthritis, systemic lupus erythematosus and inflammatory bowel disease.
Autoimmune diseases affect more than
24 million people in the U.S. On top of this, another 8 million carry auto-antibodies, blood molecules that indicate a person’s chance of developing an autoimmune disease. The cause of many of the diseases is unknown.
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