Group items tagged

Now eight years old, USAID PREDICT is a collaborative effort to monitor, predict and prevent emerging diseases, many of them zoonotic, from becoming devastating global pandemics the likes of Ebola. It's led by Jonna Mazet, an epidemiologist at the University of California at Davis's One Health Institute and School of Veterinary Medicine, and also partners with the Wildlife Conservation Society, Metabiota, EcoHealth Alliance and the Smithsonian Institution's Global Health Program.

or more than a decade scientists have been saying that a genomic revolution will transform medicine, making it possible to scan all of a person's DNA to predict risk and customize medical care. Well, we've got the machines. Where's the revolution? Getting closer, say researchers at Stanford University, who tested the technology on 12 people. But not quite ready for every doctor's office.

About GeneCards®: GeneCards is a searchable, integrated database of human genes that provides comprehensive, updated, and user-friendly information on all known and predicted human genes. GeneCards extracts and integrates gene-related data, including genomic, transcriptomic, proteomic, genetic, clinical, and functional information. This is automatically mined from >100 carefully selected web sources, thereby allowing one-stop access to a very broad information base. GeneCards overcomes barriers of data format and heterogeneity, and uses standard nomenclature and approved gene symbols. It presents a rich subset of data for each gene, and provides deep links to the original sources for further scrutiny. GeneCards is widely used, and assists in the understanding of gene-related aspects of biology and medicine.

The researchers' approach to developing the method was adopted from food science, where it is used for control of complex industrial processes. Basically, it involves handling and analysing huge amounts of biological data in a holistic and explorative way. The researchers analysed all compounds a blood sample contains instead of - as is often done in health and medical science - examining what a single biomarker means in relation to a specific disease. "When a huge amount of relevant measurements from many individuals is used to assess health risks - here breast cancer - it creates very high quality information. The more measurements our analyses contain, the better the model handles complex problems," continued Professor Rasmus Bro.