Watch a fly-through of Glass Brain, a 3D imagining of the human brain by researchers at the University of California San Francisco. This video shows the 3D brain model made possible by electroencephalography data and white matter tract reconstruction from MRI diffusion tensor imaging. UCSF is using the technology to research possible treatments for neurodegenerative disease.

CorTechs Labs, a quantitative imaging technology company in San Diego, is teaming up with the genomics and therapeutics group Human Longevity Inc. (HLI) to align their data into a comprehensive phenotyping database.

The University of California, San Francisco (UCSF) announced yesterday that the institution is strengthening a series of partnerships to develop technologies that aim to treat neurodegenerative disease.

The human genome was first mapped just a little over a decade ago. Its 3 billion bits of DNA are the pages of the human instruction manual. Read this great review featuring Eric S. Lander from MIT, Harvard, and the Broad Institute in Cambridge to see how far we've come and what the future of genomics holds.

The shape of cancer genomics may be a new calling card for 3D oncologic imaging. Studying the formation of cancer cell genomes could potentially provide more information about a patient's cancer than just focusing on genetic expression. Scientists at McGill University in Montreal are finding that the form of a cancer cell genome can even tell them what subtype of cancer a patient has.

Wearing a bra during chest CT increases the percentage of breast tissue within the region of reduced tube current and therefore improves the performance of angle-dependent tube current modulation technique, according to a study published in the May issue of the American Journal of Roentgenology.

T1-weighted signal intensity changes in the plantar fascia, soft-tissue edema superficial to the plantar fascia and calcaneal spurs are common findings in asymptomatic patients and should be used with caution when diagnosing plantar fasciitis, according to a study published online May 7 by Radiology.

The (MC)2 risk score is a valuable tool for predicting major complications in patients undergoing renal cryoablation, according to a study published online May 7 by Radiology.