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A physicist at the University of California, Riverside, has performed calculations showing hollow spherical bubbles filled with a gas of positronium atoms are stable in liquid helium.

The calculations take scientists a step closer to realizing a gamma-ray laser, which may have applications in medical imaging, spacecraft propulsion, and cancer treatment.

Continue reading “Gamma-ray laser moves a step closer to reality” »

Evolutionary stories like the grandmother hypothesis are easy to construct from mathematical models, but how well do they reflect reality?

Amidst rising hopes for using CRISPR gene editing tools to repair deadly mutations linked to conditions like cystic fibrosis and sickle cell disease, a study in Communications Biology describes a new innovation that could accelerate this work by rapidly revealing unintended and potentially harmful changes introduced by a gene editing process.

“We’ve developed a new process for rapidly screening all of the edits made by CRISPR, and it shows there may be many more unintended changes to DNA around the site of a CRISPR repair than previously thought,” said Eric Kmiec, Ph.D., director of ChristianaCare’s Gene Editing Institute and the principle author of the study.

The study describes a new tool developed at the Gene Editing Institute that in just 48 hours can identify “multiple outcomes of CRISPR-directed gene editing,” a process that typically required up to two months of costly and complicated DNA analysis.

Learn more about what’s on board the Dragon spacecraft headed to the International Space Station: https://www.nasa.gov/mission_pages/station/research/news/spx19-research

Called XLEAP, the new method will provide sharp views of electrons in chemical processes that take place in billionths of a billionth of a second and drive crucial aspects of life.

Computer scientists from Duke University and Harvard University have joined with physicians from Massachusetts General Hospital and the University of Wisconsin to develop a machine learning model that can predict which patients are most at risk of having destructive seizures after suffering a stroke or other brain injury.

A point system they’ve developed helps determine which patients should receive expensive continuous electroencephalography (cEEG) monitoring. Implemented nationwide, the authors say their model could help hospitals monitor nearly three times as many patients, saving many lives as well as $54 million each year.

A paper detailing the methods behind the interpretable machine learning approach appeared online June 19 in the Journal of Machine Learning Research.

Awesome!

A new approach to programing cancer-fighting immune cells called CAR-T cells can prolong their activity and increase their effectiveness against human cancer cells grown in the laboratory and in mice, according to a study by researchers at the Stanford University School of Medicine.

The ability to circumvent the exhaustion that the genetically engineered cells often experience after their initial burst of activity could lead to the development of a new generation of CAR-T cells that may be effective even against solid cancers—a goal that has until now eluded researchers.

Continue reading “Researchers program cancer-fighting cells to resist exhaustion, attack solid tumors in mice” »

“It’s the first chip implanted into the human brain”
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Continue reading “‘This Could Be a Tragedy For Humanity’ | The First Brain Chip Implant” »

CHICAGO, Dec. 5, 2019 — In a recent study from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, scientists used a photocatalyst largely made of copper to transform carbon dioxide (CO₂) to methanol.