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(Medical Xpress)—A team of researchers working at the University of Rochester in New York, has found that injecting glial cells into a mouse brain caused an improvement in both memory and cognition in the mouse. In their paper published in The Journal of Neuroscience, the team explains how they injected the test mice and then tested them afterwards to see what impact it had on their abilities.

Injecting human into mice brains appears to be the stuff of horror films, but in this case, it wasn’t really what it might have seemed. Glial cells are precursors to other cells—in this case, they develop into astrocytes, which are technically, brain cells. But, the important distinction here is that they are not neurons, which means they are not involved in thinking—instead they are involved in memory retention and help with housekeeping tasks.

Last year, the team injected mature into mice brains and reported improvements in ability by the mice—this time they went further, injecting progenitor precursor glial cells, which allows for development of more astrocytes. The team injected just 300,000 of the cells (from donated human embryos) and found just 12 months later that they had multiplied to grow to 12 million, completely displacing the original mouse astrocytes. It appeared, the team reported, that the cell growth only stopped when it reached the physical confines of the skull. They also note that it was interesting that the glial could thrive in such an environment considering that astrocytess in people are 10 to 20 times as big as those in mice and they carry 100 times as many tendrils. Testing the mice showed that their memory was far superior to normal mice and they had improved cognition as well.

Researchers from the University of Cambridge and Caltech have created model mouse embryos from stem cells—the body’s master cells, which can develop into almost any cell type in the body—that have beating hearts, as well as the foundations for a brain and all of the other organs in the mouse body.

The results are the culmination of more than a decade of research, and they could help researchers understand why some embryos fail while others go on to develop into a fetus as part of a healthy pregnancy. Additionally, the results could be used to guide repair and development of synthetic human organs for transplantation.

The research was conducted in the laboratory of Magdalena Zernicka-Goetz, Bren Professor of Biology and Biological Engineering at Caltech. Zernicka-Goetz is also a professor of mammalian development and in Cambridge’s Department of Physiology, Development and Neuroscience. A paper describing the breakthrough appears in the journal Nature on August 25.

Research on human embryos is vital to understanding the earliest stages of human development. Currently, this research is conducted on surplus embryos willingly donated by individuals who have undergone in vitro fertilization. Nevertheless, this research is limited by the availability of embryos and strict international ethical time limits on how long an embryo is allowed to develop in the laboratory (14 days maximum.)

Now, Caltech researchers have created embryo-like structures out of human stem cells. In contrast to natural embryos that are formed by a combination of sperm and egg, these structures are formed by combining so-called , which have the ability to develop into specialized types of cells. Though these embryo-like structures have some key differences from real embryos, the technology to create them will be critical in answering open questions about without the need for donated embryos.

The research was conducted in the laboratory of Magdalena Zernicka-Goetz, Bren Professor of Biology and Biological Engineering at Caltech, and is described in a paper appearing in the journal Nature Communications on September 21.

Scientists have created “synthetic” mouse embryos from stem cells without a dad’s sperm or a mom’s egg or womb.

The lab-created embryos mirror a natural mouse embryo up to 8 ½ days after fertilization, containing the same structures, including one like a beating heart.

In the near term, researchers hope to use these so-called embryoids to better understand early stages of development and study mechanisms behind disease without the need for as many lab animals. The feat could also lay the foundation for creating synthetic human embryos for research in the future.

An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is self-learning, meaning it does not require extensive, time-consuming findings or markings by radiologists in the MRI images.

This federated was trained on more than 1,500 MRI scans of healthy study participants from four institutions while maintaining data privacy. The algorithm then was used to analyze more than 500 patient MRI scans to detect diseases such as multiple sclerosis, vascular disease, and various forms of brain tumors that the algorithm had never seen before. This opens up new possibilities for developing efficient AI-based federated algorithms that learn autonomously while protecting privacy. The study has now been published in the journal Nature Machine Intelligence.

Health care is currently being revolutionized by artificial intelligence. With precise AI solutions, doctors can be supported in diagnosis. However, such algorithms require a considerable amount of data and the associated radiological specialist findings for training. The creation of such a large, central database, however, places special demands on . Additionally, the creation of the findings and annotations, for example the marking of tumors in an MRI image, is very time-consuming.

Solar cells are vital for the green energy transition. They can be used not only on rooftops and solar farms but also for powering autonomous vehicles, such as planes and satellites. However, photovoltaic solar cells are currently heavy and bulky, making them difficult to transport to remote locations off-grid, where they are much needed.

In a collaboration led by Imperial College London, alongside researchers from Cambridge, UCL, Oxford, Helmholtz-Zentrum Berlin in Germany, and others, researchers have produced that can absorb comparable levels of sunlight as conventional silicon , but with 10,000 times lower thickness.

The material is sodium bismuth sulfide (NaBiS2), which is grown as nanocrystals and deposited from solution to make films 30 nanometers in thickness. NaBiS2 is comprised of nontoxic elements that are sufficiently abundant in the earth’s crust for use commercially. For example, bismuth-based compounds are used as a nontoxic lead replacement in solder, or in over-the-counter stomach medicine.

Engineers at RMIT University have developed a method to use disposable personal protective equipment (PPE) to make concrete stronger, providing an innovative way to significantly reduce pandemic-generated waste.

The RMIT team is the first to investigate the feasibility of recycling three key types of PPE—isolation gowns, face masks and rubber gloves—into concrete.

Published in the journals Case Studies in Construction Materials, Science of the Total Environment and Journal of Cleaner Production, the studies by RMIT School of Engineering researchers demonstrate the potential for PPE to be used as reinforcement materials in structural concrete.

Researchers at Washington University School of Medicine in St. Louis have found a new druggable pathway that potentially could be used to help prevent Alzheimer’s dementia.

Amyloid beta accumulation in the brain is the first step in the development of Alzheimer’s dementia. Scientists have poured countless hours and millions of dollars into finding ways to clear amyloid away before cognitive symptoms arise, with largely disappointing results.

In this study, published Aug. 24 in the journal Brain, researchers found a way to increase clearance of waste products from the brains of mice by ramping up a genetic quirk known as readthrough. This same strategy also may be effective for other characterized by the buildup of toxic proteins, such as Parkinson’s disease, the researchers said.