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{bio,medical} informatics

Thursday, January 05, 2006

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find related articles. powered by google. myDNA Meet the new health care model

"The new health model, still in its infancy and without an official title, has been called predictive, personalized, preventive or pre-emptive care. The initiative is based on the unraveling of the human genome and the discovery of body changes that occur at the microscopic level. The approach calls upon subspecialties of proteomics, epigenetics, bioinformatics and computational biology to develop a medical standard of care that acts upon early clues that portend the development of disease.

The new philosophy hinges on the concept that disease is the result of either outside forces, such as infectious agents or environmental toxins, or defective genes. These vectors disrupt the natural biological networks in the body and cause the body to produce proteins. The unnatural proteins, called biomarkers, are secreted into the blood or other body fluids, creating a molecular fingerprint that can be tracked or monitored."

redux [12.19.05]
find related articles. powered by google. The Atlanta Journal-Constitution Disease prediction on the horizon

"Emory University and Georgia Tech will launch a multiyear, multimillion-dollar project Monday to remake U.S. health care — a bold effort that plays to the schools' strengths in biomedical and engineering research but carries wide ethical, legal and economic complications.

The project, dubbed the Predictive Health Initiative, combines genetics, nanotechnology, information technology and cutting-edge patient care into a new type of medicine that aims to stop disease before it starts."

"The initiative and conference will explore a discipline that is so new its leading researchers cannot agree what to call it — predictive, personalized, preventive or pre-emptive — and that relies on scientific specialties most Americans may not recognize: proteomics, epigenetics, bioinformatics and computational biology."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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