Thursday, October 8, 2015

Cancer Research: Groundbreaking computer program diagnoses cancer in two days ♦ New method to predict increased risk of non-familial breast cancer

Research connects specific variations in RNA splicing with breast cancer causation Researchers have identified cellular changes traceable to an RNA splicing factor that's also an oncoprotein that may play a role in converting normal breast cells into tumors. Targeting these changes could potentially lead to therapies for some forms of breast cancer,.
New method to predict increased risk of non-familial breast cancer By detecting cancer at an early stage, or even predicting who has an increased risk of being affected, the possibilities to treat the disease can be radically improved. Now researchers have discovered that apparently healthy breast cells contain genetic aberrations that can be associated with an increased risk for nonfamilial breast cancer.
Research calls for stricter screening recommendations for family history of colon cancer All relatives of individuals with colorectal cancer are at increased risk for this cancer, regardless of the age of diagnosis of the index patient in the family, according to a new study

Groundbreaking computer program diagnoses cancer in two days In about one in 20 cancer cases, the doctor can confirm that the patient has cancer -- but cannot find the source. These patients then face the prospect of a long wait with numerous diagnostic tests and attempts to locate the origin of the cancer before starting any treatment. Now, researchers have combined genetics with computer science and created a new diagnostic technology based on advanced self-learning computer algorithms which can, with 85 per cent certainty, identify the source of the disease and thus target treatment.

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