A new project may boost 5G and mm-Wave technologies, improving military communications and sensing equipment. Carbonics, Inc., partnered with the University of Southern California to develop a carbon nanotube technology that, for the first time, achieved speeds exceeding 100GHz in radio frequency applications. The milestone eclipses the performance — and efficiency — of traditional Radio…

Food producers can use a mathematical model to ensure their products do not cause botulism. For refrigerated products, the guidelines for controlling Clostridium botulinum indicate that the water contained in the products should have a salt content of at least 3.5%. Unfortunately, this hampers efforts to develop salt-reduced products, even though such products would benefit…

Thanks to their visual simplicity, bar graphs are popular tools for representing data. But do we really understand how to read them? New research has found that bar graphs are frequently misunderstood. The study demonstrates that people who view exactly the same graph often walk away with completely different understandings of the facts it represents.…

In order to find out which genes are responsible for diseases such as cancer or diabetes, scientists nowadays frequently resort to using machine-learning models. Trained models freely available «What makes Kipoi special is that it provides free access to machine learning models that have already been trained,» says Julien Gagneur. «What we are doing with…

Researchers have developed a new automatized way to localize mandibular canals. The lower jaw is an anatomically complex structure and medical experts use X-ray and computer tomography (CT) models to detect and diagnose such structures. Typically, dentists and radiologists define the location of the mandibular canals manually from the X-ray or CT scans, which makes…

Researchers are using computer models to simulate COVID-19 infections on a cellular level which allows for virtual trials of drugs and vaccines, opening the possibility of pre-assessment for drug and vaccine efficacy against the virus. The models allow for virtual trials of drugs and vaccines, opening the possibility of pre-assessment for drug and vaccine efficacy…

Researchers have used machine learning, a type of artificial intelligence, to develop a prediction model for the early diagnosis of opioid use disorder. The model was generated from information in a commercial claim database from 2006 through 2018 of 10 million medical insurance claims from 550,000 patient records. It relied on data such as demographics,…

A new algorithm uses online learning to analyze large single-cell data sets using the amount of memory found on a standard laptop computer. A relatively recent technique called single-cell sequencing is enabling researchers to recognize and categorize cell types by characteristics such as which genes they express. But this type of research generates enormous amounts…

In two different studies, researchers used machine learning algorithms to classify kidney biopsy samples and found substantial agreement with standard classification by pathologists. The methods may augment traditional diagnostics of kidney disease. Pathologists often classify various kidney diseases on the basis of visual assessments of biopsies from patients’ kidneys; however, machine learning has the potential…

First-ever biologically authentic computer model was completed of the HIV-1 virus liposome. Key finding from the simulations is the formation of sphingomyelin and cholesterol rich microdomains. HIV-1 is known to preferentially bud from regions of the host cell membrane where these constituents are in high abundance. Scientists are hopeful this basic research into viral envelopes…