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Informatics in Drug Discovery and Regulatory Science. results by the software should be easily understood and analyzed by.Institute of Applied Economic Research Institute of Applied Economic Research (IAER) is a think tank headquartered in Bhubaneswar, Odisha. It was founded in 2011 by Odisha Economic Development Council, Government of Odisha and Government of India. The Institute has a team of professional researchers, economists and social scientists. IAER is one of the earliest think tanks in India engaged in development issues and economic analysis. It is based on the belief that the future of a nation depends on economic growth and development of the people. History The Institute was formed in 2011 by the Odisha Economic Development Council, Government of Odisha and Government of India under the stewardship of Smt. Ruchi Ram Karia, who was the Chairperson of the council. The Institute started as a part of Mahindra United Co-operation Society, but has since become an autonomous body. References External links Category:Research institutes in Bhubaneswar Category:Think tanks based in IndiaSAN FRANCISCO — To illustrate the potential value of new methods for detecting and evaluating kidney tumors, UCSF researchers have shown that a few biomarkers can be enough to predict the response of advanced kidney cancers to treatment. Their findings, published today in Nature Communications, could lead to the development of more accurate tests for evaluating kidney cancer patients as a guide for their treatment. The research team’s findings should help inform the design of large clinical trials that are planned to test how well new combinations of drugs work and how patients respond to them. “In clinical care we are always looking for the best tests available to predict outcomes in cancer patients,” said senior author Dr. Michel Sadelain, an assistant professor of pathology in the UCSF School of Medicine and member of the UCSF Helen Diller Family Comprehensive Cancer Center. “Our work suggests that, with a few biomarkers and some statistical modeling, it is possible to accurately predict clinical outcomes in cancer patients, especially in the challenging setting of advanced disease.” According to the American Cancer Society, about 63,000 Americans will be diagnosed with kidney cancer in 2018, and 14,400 will die from it. These figures are predicted to increase significantly over the next several decades, because most kidney cancers are not detected early. Therefore, doctors must rely on

 

 

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