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Showing posts with label Study:. Show all posts
Showing posts with label Study:. Show all posts

Sunday, 17 March 2013

Study: Computer Models Predict How Patients Will Respond to HIV Drugs

Results of a study demonstrate that computer models can predict how HIV patients whose drug therapy is failing will respond to a new treatment. The results were published online in the iJournal of Antimicrobial Chemotherapy/i. Crucially for patients in poorer countries, the models do not require the results of expensive drug resistance tests to make their predictions. The study also showed that the models were able to identify alternative drug combinations ...


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Thursday, 14 March 2013

Study: Periconceptional Nutrition May Affect Functioning of Genes In Children

According to a new study, food that soon-to-be-moms eat in the days and weeks around the time of conception-or what's known as periconceptional nutrition-may affect the functioning of genes in her children, and their health. In an early study, U. S. Department of Agriculture-funded research molecular geneticist Robert A. Waterland and co-investigators examined gene function of 50 healthy children living in rural villages in the West African nation of The Gambia. ...


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Wednesday, 13 March 2013

Study: Therapies for ALL and AML Targeting MER Receptor Hold Promise of More Effect With Less Side-effect

The protein receptor Mer is overexpressed in many leukemias, and that inhibition of this Mer receptor results in the death of leukemia cells - without affecting surrounding, healthy cells shows two studies by University of Colorado Cancer Center. The first study, published today in the journal iOncogene/i, worked with acute myeloid leukemia (AML), for which current chemotherapies offer a cure rate of only about 55 percent. "In about 2/3 of all AML ...


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Study: Private Data Revealed by Facebook 'Likes'

There's more to those Facebook 'likes' than what meets the eye. Research released Monday shows patterns from these Facebook preferences can provide surprisingly accurate estimates of the user's race, age, IQ, sexuality and other personal information. The researchers developed an algorithm which uses Facebook likes -- which are publicly available unless a user chooses stronger privacy settings -- to create personality profiles, potentially revealing ...


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