Sentences with phrase «new tumor analysis»

«New tumor analysis method identifies high - risk prostate cancer: Cancer cells» genetic pathways show which patients are likely to develop aggressive types of the disease.»

Not exact matches

It has already invested in some companies that graduated from the Labs incubator, including Modern Meadow, a New Jersey — based startup that's biofabricating leather without the need for animals, and 3Scan, a company that enables 3D analysis of tumors and organs.
New research led by Li Ding, Ph.D., of Washington University School of Medicine in St. Louis, shows that current approaches to genome analysis systematically miss detecting a certain type of complex mutation in cancer patients» tumors.
Nagrath, director of Rice's Laboratory for Systems Biology of Human Diseases, said the new metabolic analysis indicates that ovarian cancer may be susceptible to multidrug cocktails, particularly if the amounts of the drugs can be tailored to match the metabolic profile of a patient's tumor.
But tumor - only analyses offer up many «false positive» mutations that appear to contribute to cancer, but which actually show up elsewhere in an individual's healthy tissue, a new study finds.
In a new International Journal of Cancer analysis, researchers found a link between maternal residential pesticide use — particularly insecticides — and the risk of childhood brain tumors.
The new study, a comprehensive analysis of the genomes of 178 primary cervical cancers, found that over 70 percent of the tumors had genomic alterations in either one or both of two important cell signaling pathways.
Researchers with The Cancer Genome Atlas (TCGA) Research Network have completed the largest, most diverse tumor genetic analysis ever conducted, revealing a new approach to classifying cancers.
The study, a comprehensive tumor genetic analysis which revealed a new way of classifying cancers, is featured as one of the year's major achievements in clinical cancer research and care.
His analysis of all publicly available cancer mutations and integration with all solved computational models of human proteins has created a powerful roadmap for evaluating new mutations observed in patient tumors.
Finally, analysis of tumors from clinical trials and cell line models will allow discovery of mechanisms of sensitivity and resistance to AR and PI3K inhibitors, as well as biomarkers that can be used in the development of new treatment regimens and selection of patients for future trials.
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