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Ultrathin clay membrane layers offer low-cost alternative for extracting lithium from water

Lithium, the lightest metal on the periodic table, plays a pivotal role in modern life. Its low weight and high energy density make it ideal for electric vehicles, cellphones, laptops and military technologies where every ounce counts. As demand for lithium skyrockets, concerns about supply and reliability are growing.

To help meet surging demand and possible supply chain problems, scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed an innovative technology that efficiently extracts lithium from water. Several team members also hold joint appointments with the Pritzker School of Molecular Engineering (PME) at the University of Chicago.

The findings appear in the journal Advanced Materials.

Scientists create biological artificial intelligence system

Australian scientists, including at the Charles Perkins Centre, University of Sydney, have successfully developed a research system that uses ‘biological artificial intelligence’ to design and evolve molecules with new or improved functions directly in mammal cells. The researchers said this system provides a powerful new tool that will help scientists develop more specific and effective research tools or gene therapies.

Named PROTEUS (PROTein Evolution Using Selection) the system harnesses ‘directed evolution’, a lab technique that mimics the natural power of evolution. However, rather than taking years or decades, this method accelerates cycles of evolution and natural selection, allowing them to create molecules with new functions in weeks.

This could have a direct impact on finding new, more effective medicines. For example, this system can be applied to improve gene editing technology like CRISPR to improve its effectiveness.

Over 400 different types of nerve cell have been grown — far more than ever before

Nerve cells are not just nerve cells. Depending on how finely we distinguish, there are several hundred to several thousand different types of nerve cell in the human brain according to the latest calculations. These cell types vary in their function, in the number and length of their cellular appendages, and in their interconnections. They emit different neurotransmitters into our synapses and, depending on the region of the brain – for example, the cerebral cortex or the midbrain – different cell types are active.

When scientists produced nerve cells from stem cells in Petri dishes for their experiments in the past, it was not possible to take their vast diversity into account. Until now, researchers had only developed procedures for growing a few dozen different types of nerve cell in vitro. They achieved this using genetic engineering or by adding signalling molecules to activate particular cellular signalling pathways. However, they never got close to achieving the diversity of hundreds or thousands of different nerve cell types that actually exists.

“Neurons derived from stem cells are frequently used to study diseases. But up to now, researchers have often ignored which precise types of neuron they are working with,” says Barbara Treutlein, Professor at the Department of Biosystems Science and Engineering at ETH Zurich in Basel. However, this is not the best approach to such work. “If we want to develop cell culture models for diseases and disorders such as Alzheimer’s, Parkinson’s and depression, we need to take the specific type of nerve cell involved into consideration.”


For the first time, researchers at ETH Zurich have successfully produced hundreds of different types of nerve cell from human stem cells in Petri dishes. In the future, it will thus be possible to investigate neurological disorders using cell cultures instead of animal testing.

Looking to study neurological conditions, researchers produce over 400 different types of nerve cells

Nerve cells are not just nerve cells. Depending on how finely we distinguish, there are several hundred to several thousand different types of nerve cells in the human brain, according to the latest calculations. These cell types vary in their function, in the number and length of their cellular appendages, and in their interconnections. They emit different neurotransmitters into our synapses, and depending on the region of the brain—for example, the cerebral cortex or the midbrain—different cell types are active.

When scientists produced from in Petri dishes for their experiments in the past, it was not possible to take their vast diversity into account. Until now, researchers had only developed procedures for growing a few dozen different types of nerve cell in vitro. They achieved this using or by adding signaling molecules to activate particular cellular signaling pathways. However, they never got close to achieving the diversity of hundreds or thousands of different nerve cell types that actually exist.

“Neurons derived from stem cells are frequently used to study diseases. But up to now, researchers have often ignored which precise types of neuron they are working with,” says Barbara Treutlein, Professor at the Department of Biosystems Science and Engineering at ETH Zurich in Basel.

Precision at the smallest scale

Imagine a high-tech workshop where scientists and engineers craft objects so small they can’t be seen with the naked eye — or even a standard microscope. These tiny structures — nanostructures — are thousands of times smaller than a strand of hair. And they are essential for faster computers, better smartphones and life-saving medical devices.

Nanostructures are at the core of the research happening every day in the Washington Nanofabrication Facility (WNF). Part of the Institute for Nano-Engineered Systems at the UW and located in Fluke Hall, the WNF supports cutting-edge academic and industry research, prototyping and hands-on student training. Like many leading nanofabrication centers, it is part of the National Science Foundation’s National Nanotechnology Coordinated Infrastructure, a network that shares expertise and resources.


Step inside the Washington Nanofabrication Facility, where tiny tech is transforming research in quantum, chips, medicine and more.

Scientists create biological ‘artificial intelligence’ system

Australian scientists have successfully developed a research system that uses ‘biological artificial intelligence’ to design and evolve molecules with new or improved functions directly in mammal cells. The researchers said this system provides a powerful new tool that will help scientists develop more specific and effective research tools or gene therapies.

Named PROTEUS (PROTein Evolution Using Selection) the system harnesses ‘directed evolution’, a lab technique that mimics the natural power of evolution. However, rather than taking years or decades, this method accelerates cycles of evolution and natural selection, allowing them to create molecules with new functions in weeks.

This could have a direct impact on finding new, more effective medicines. For example, this system can be applied to improve gene editing technology like CRISPR to improve its effectiveness.

BCI robotic hand control reaches new finger-level milestone

As detailed in a new study in Nature Communications, He’s lab brings noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous robotic hand at the finger level.

“Improving hand function is a top priority for both impaired and able-bodied individuals, as even small gains can meaningfully enhance ability and quality of life,” explained Bin He, professor of biomedical engineering at Carnegie Mellon University. “However, real-time decoding of dexterous individual finger movements using noninvasive brain signals has remained an elusive goal, largely due to the limited spatial resolution of EEG.”

Clinical test predicts best rheumatoid arthritis treatment on first try

1 in 100 people in Britain today live with rheumatoid arthritis (RA). Unlike osteoarthritis (OA), RA is caused not by wear and tear but by the body’s immune system attacking its own joints. RA can strike quickly at any age—but is most common for people aged 40–60.

Biological therapies are the leading treatment. Clinicians use engineered proteins made from living cells to slow the disease by targeting the specific parts of the immune system that are going rogue. Over the past 20 years they have led to major improvements in helping patients to live with RA.

However, different patients will react differently to different biological therapies depending upon their genetics. This means individual therapies have a failure rate of approximately 40%.

AI helps discover optimal new material for removing radioactive iodine contamination

Managing radioactive waste is one of the core challenges in the use of nuclear energy. In particular, radioactive iodine poses serious environmental and health risks due to its long half-life (15.7 million years in the case of I-129), high mobility, and toxicity to living organisms.

A Korean research team has successfully used artificial intelligence to discover a new material that can remove iodine for nuclear environmental remediation. The team plans to push forward with commercialization through various industry–academia collaborations, from iodine-adsorbing powders to contaminated water treatment filters.

Professor Ho Jin Ryu’s research team from the Department of Nuclear and Quantum Engineering, in collaboration with Dr. Juhwan Noh of the Digital Chemistry Research Center at the Korea Research Institute of Chemical Technology, developed a technique using AI to discover new materials that effectively remove contaminants. Their research is published in the Journal of Hazardous Materials.