Skip to main content
Premium Trial:

Request an Annual Quote

How Does Playing Solitaire Fit In?

The American Scientist conducted a poll to see how scientists really use computers. Nearly 2,000 people responded and they said they work about 48 hours a week, spending 30 percent of that time developing software and 40 percent using. They also said they are spending more time now than five years ago developing and using scientific software. Most of the respondents generate and archive a few gigabytes' worth of data a year and tend to use common software. "If funding agencies, vendors and computer science researchers really want to help working scientists do more science, they should invest more in conventional small-scale computing," Greg Wilson writes.

At Mailund on the Internet, Thomas Mailund doesn't find the conclusions surprising. "Even at BiRC where we do a lot of genome analysis that really do need computer grids, most of our computer use is desktop computers," he writes.

The Scan

UCLA Team Reports Cost-Effective Liquid Biopsy Approach for Cancer Detection

The researchers report in Nature Communications that their liquid biopsy approach has high specificity in detecting all- and early-stage cancers.

Machine Learning Improves Diagnostic Accuracy of Breast Cancer MRI, Study Shows

Combining machine learning with radiologists' interpretations further increased the diagnostic accuracy of MRIs for breast cancer, a Science Translational Medicine paper finds.

Genome Damage in Neurons Triggers Alzheimer's-Linked Inflammation

Neurons harboring increased DNA double-strand breaks activate microglia to lead to neuroinflammation like that seen in Alzheimer's disease, a new Science Advances study finds.

Long COVID-19 Susceptibility Clues Contained in Blood Plasma Proteome

A longitudinal study in eBioMedicine found weeks-long blood plasma proteome shifts after SARS-CoV-2 infection, along with proteomic signatures that appeared to coincide with long Covid risk.