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HealthTech (November 30th, 2017) New cancer-fighting drugs are sorely needed, but getting effective drugs to market takes years of clinical trials. Researchers at the Georgia Institute of Technology are hoping to change that, however, and speed up the process via a machine learning algorithm that has successfully used raw genetic data to predict when cancer drugs will be effective. (full story..) |
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Healthcare Analytics News (October 30th, 2017) Calling its project ‘a gauntlet’, the team wants other researchers to take, use, modify, and expand upon a machine learning platform it built to judge cancer treatment effectiveness using genetic data. (full story..) |
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Georgia Tech Research Horizons (August 15th, 2017) mRNA-protein level disparities found in metastatic ovarian cancer in more than 60% of measurements across 4,436 genes; evidence of micro RNA regulation (full story..) |
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Futurism (November 10, 2016) A new nanoparticle therapy that uses a minute gel pellet to deliver siRNA to cancer cells has reduced or eliminated carcinomas in in vivo tests in four mice. The treatment is still in its very early stages, but joins a growing number of nanoparticle therapies looking to improve how we combat disease on a cellular level. (full story..) |
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Genetic Engineering & Biotechnology News (November 7, 2016) A more sure-footed partner for chemotherapy has been developed by scientists based at the Georgia Institute of Technology. These scientists, led by John McDonald, Ph.D., have devised a functionalized nanohydrogel siRNA delivery system. This system, in a mouse model of ovarian cancer, succeeded in honing in on ovarian tumors and sensitizing them to the chemotherapeutic agent called cisplatin. Together, the siRNA and the cisplatin dramatically shrank or even eliminated the tumors. (full story..) |
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Fox 5 Atlanta (December 7, 2015) An experimental ovarian cancer screening tool, developed in a collaboration between Georgia Tech and The Ovarian Cancer Institute, could be a game-changer. It’s a blood screen. (full story..) |
