New Computational Approach to Predicting Adverse Drug Reactions with Higher Confidence
A new integrated computational method helps predicting adverse drug reaction - which are often lethal - more reliably than with traditional computing methods. This improved ability to foresee the possible adverse effects of drugs may entail saving many lives in the future. The study that is being conducted by researchers from IMIM (Hospital del Mar Medical Research Institute), Pompeu Fabra University, and the company Chemotargets, within the framework of the European eTOX project, was chosen for the cover of the journal Chemical Research in Toxicology.
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Genetics of Cancer Cells: Computational Models to Sort out the Chaos
Scientists of the Luxembourg Centre for Systems Biomedicine of the University of Luxembourg have developed a method for analysing the genome of cancer cells more precisely than ever before. The team led by Prof. Antonio del Sol, head of the research group Computational Biology, is employing bioinformatics: Using novel computing processes, the researchers have created models of the genome of cancer cells based on known changes to the genome.
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One Step Closer to Personalized Medicine
On September 21-23, 2015, the p-medicine consortium composed of 19 partner organisations from all over Europe and Japan came together for their final project meeting in Homburg/Saar, Germany. During the meeting, the project's final achievements were presented to representatives of the European Commission, the local government as well as interested companies, research institutions and patient/parents groups.
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Mobile Phone Navigation Service for Older People - Gets Them There Step by Step
VTT Technical Research Centre of Finland has developed a mobile phone-based navigation service which guides older users to the right address, even when lost in a strange town. The result of a European project, the service helps older people to use public transport, assisting them along the entire route.
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Sniffing out Cancer with Improved 'Electronic Nose' Sensors
Scientists have been exploring new ways to "smell" signs of cancer by analyzing what’s in patients’ breath. In ACS’ journal Nano Letters, one team now reports new progress toward this goal. The researchers have developed a small array of flexible sensors, which accurately detect compounds in breath samples that are specific to ovarian cancer. Diagnosing cancer today usually involves various imaging techniques, examining tissue samples under a microscope, or testing cells for proteins or genetic material.
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Acoustic Imaging with Outline Detection
Reverberated sound can make objects visible. The sonar is used in the shipping industry to acquire information about the seabed or shoals of fish, while gynaecologists use ultrasound images to study foetuses in the womb. Material testing procedures that regularly check for fissures in rail tracks or aircraft support structures are also based on ultrasound.
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Digital 'Rosetta Stone' Decrypts How Mutations Rewire Cancer Cells
Scientists have discovered how genetic cancer mutations systematically attack the networks controlling human cells, knowledge critical for the future development of personalized precision cancer treatments. Since the human genome was decoded more than a decade ago, cancer genomics studies have dominated life science worldwide and have been extremely successful at identifying mutations in individual patients and tumors.
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