Changing community networks impact disease spread

The COVID-19 pandemic has made clear the importance of understanding precisely how diseases spread throughout networks of transportation. However, rigorously determining the connection between disease risk and changing networks—which either humans or the environment may alter—is challenging due to the complexity of these systems. In a paper publishing on Thursday in the SIAM Journal on […]

Study reveals networks of genes involved in congenital heart disease

Over two million babies, children, and adults in the United States are living with congenital heart disease—a range of birth defects affecting the heart’s structure or function. Now, researchers at Gladstone Institutes and UC San Francisco (UCSF) have made inroads into understanding how a broad network of genes and proteins go awry in a subset […]

Robust networks that persist into old age

Being able to grow old and die in one’s own home is something people want, including those who live alone. Behind the life situation of the latter one finds many different relationship constellations and support networks. As soon as their need for help and care becomes more pronounced, non-kin carers such as friends or neighbors […]

‘Very low’ risk of unknown health hazards from exposure to 5G wireless networks

Experts weigh in on recent online reports that warn of frightening health consequences from new fifth generation (5G) wireless networks. Within current exposure limits, there appears to be little or no risk of adverse health effects related to radiofrequency (RF) exposure from 5G systems, concludes an evidence-based expert review in the June issue of Health […]

Unravelling complex brain networks with automated 3-D neural mapping

KAIST researchers developed a new algorithm for brain imaging data analysis that enables the precise and quantitative mapping of complex neural circuits onto a standardized 3-D reference atlas. Brain imaging data analysis is indispensable in the studies of neuroscience. However, analysis of obtained brain imaging data has been heavily dependent on manual processing, which cannot […]