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Selecting IVF Embryos for Normal Numbers of Chromosomes can Significantly Increase Pregnancy Rates
First randomized prospective study shows ongoing pregnancy rate after 20 weeks per cycle started of 69.1% in the 24sure treatment group vs 41.7% in the control group. Promise of Structure-Based Drug Design for GPCRs Heptares Therapeutics announces the recent publication of a major review of the state of the art for GPCR drug discovery and new insights that, for the first time, can be obtained from structural biology. New Biomarkers Could Offer Vital Clues for Cancer Research European funding for cancer research has led to some interesting results in recent years, says Carl-Johan Ivarsson, CEO at Qlucore. Guidelines for Prostate Screening Widely Ignored, Study Finds 2008 recommendations from federal task force had no impact. Researchers Turn Big Data Problems into Advanced Biology and Drug Discoveries University of Illinois at Chicago and The Genome Analysis Centre in Norwich, UK leverage SGI(R) UV(TM) to accelerate drug discovery and complex problem analysis. New Research on Zebrafish Brings a Cure for Hearing Loss Closer Zebrafish to discover drugs that may lead to the restoration of hearing. Completion of Alzheimer’s Plasma Biomarker Study The preliminary results demonstrate significant diagnostic and prognostic utilities. ERSPC Latest Findings Confirm Increased Mortality Benefit from Prostate Cancer Testing Extended follow up needed to establish full impact of screening. Broad Institute, Dana-Farber and Novartis Collaborate to Develop Cancer Cell Line Encyclopedia Scientists have written the 'Book of Cancer Knowledge' to aid future research into drug discovery and personalized medicine. Specificity Quantification of Biomolecular Recognition and its Implication for Drug Discovery Highly efficient and specific biomolecular recognition requires both affinity and specificity. Here scientists developed a novel method SPA (SPecificity and Affinity) based on funneled energy landscape theory, with increased specificity on previous models. 
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