Deep Oceans Dissolve the Rocky Shell of Water-Ice Planets

Cut-away diagram of a water-rich sub-Neptune exo-planet highlighting, in orange color, the interaction region between a deep H2O layer and the underlying rocky mantle
CREDIT
S. Speziale/ GFZ

Laboratory experiments allow insights into the processes under the extreme pressure and temperature conditions of distant worlds. What is happening deep beneath the surface of ice planets? Is there liquid water, and if so, how does it interact with the planetary rocky “seafloor”? New experiments show that on water-ice planets between the size of our Earth and up to six times this size, water selectively leaches magnesium from typical rock minerals...

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AI with Swarm Intelligence

Prof. Joachim Schultze, Director of Systems Medicine at DZNE. Source: DZNE / Frommann

A novel technology for cooperative analysis of big data. Researchers have used ‘swarm learning’ – a novel, artificial intelligence technology – to detect blood cancer, lung diseases and COVID-19 in data stored in a decentralized fashion.

Communities benefit from sharing knowledge and experience among their members. This approach has advantage over conventional methods since it inherently provides privacy preservation technologies, which facilitates cross-site analysis of scientific data. Swarm learning could thus significantly promote and accelerate collaboration and information exchange in research, especially in the field of medicine...

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How to boost muscle regeneration and rebuild tissue

Induction of Yamanaka factors (OKSM) in muscle fibers increases the number of myogenic progenitors. Top, control; bottom, treatment. Red-pink color is Pax7, a muscle stem-cell marker. Blue indicates muscle nuclei.
Credit: Salk Institute

Clues about molecular changes underlying muscle loss tied to aging. In work that could one day help athletes as well as aging adults regenerate tissue more effectively, scientists increased the regeneration of muscle cells in mice by activating the precursors of muscle cells.

One of the many effects of aging is loss of muscle mass, which contributes to disability in older people...

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Data from Smartwatches can help Predict Clinical Blood Test results

The image shows the heart rate monitor reading on a standard smart watch.

Long-term data gathered from wearables can quicky indicate illness and other abnormalities in a patient’s health. Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count, according to biomedical engineers and genomics researchers at Duke University and the Stanford University School of Medicine.

The researchers say that, with the help of machine learning, wearable device data on heart rate, body temperature and daily activities may be used to predict health measurements that are typically observed during a clinical blood test. The study appears in Nature Medicine on May 24, 2021.

During a doctor’s office visit, a medical worker usually m...

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