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The first people to make and use quantum dots were glassmakers. Working thousands of years ago, they realized that the same chemical mixture could turn glass into different colors, depending on how they heated it.

This year’s Nobel Prize in Chemistry honors three scientists who, along with their colleagues, students, and staff, figured out why the ancient glassmakers’ methods worked — and how to control them much more precisely. During the waning days of the Cold War, Alexei Ekimov and Louis Brus, working in separate labs on opposite sides of the Iron Curtain, both discovered the same thing: that tiny crystals (just millionths of a millimeter wide) act very differently than larger pieces of the exact same material. These tiny, weird crystals are called quantum dots, and just a few years after the Berlin Wall fell, Moungi Bawendi figured out how to mass-produce them.

That changed everything. Quantum dots are crystals so small that they follow different rules of physics than the materials we’re used to. Today, these tiny materials help surgeons map different types of cells in the body, paint vivid color images on QLED screens, and give LED lights a warmer glow.

Speech production is a complex neural phenomenon that has left researchers explaining it tongue-tied. Separating out the complex web of neural regions controlling precise muscle movement in the mouth, jaw and tongue with the regions processing the auditory feedback of hearing your own voice is a complex problem, and one that has to be overcome for the next generation of speech-producing protheses.

Now, a team of researchers from New York University have made key discoveries that help untangle that web, and are using it to build vocal reconstruction technology that recreates the voices of patients who have lost their ability to speak.

The team, co-led by Adeen Flinker, Associate Professor of Biomedical Engineering at NYU Tandon and Neurology at NYU Grossman School of Medicine, and Yao Wang, Professor of Biomedical Engineering and Electrical and Computer Engineering at NYU Tandon, as well as a member of NYU WIRELESS, created and used complex neural networks to recreate speech from brain recordings, and then used that recreation to analyze the processes that drive .

Scientists testing a new method of sequencing single cells have unexpectedly changed our understanding of the rules of genetics.

The genome of a protist has revealed a seemingly unique divergence in the DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).

The brain is an evolutionary marvel. By shifting the control of sensing and behavior to this central organ, animals (including us) are able to flexibly respond and flourish in unpredictable environments. One skill above all—learning—has proven key to the good life.

But what of all the organisms that lack this precious organ? From jellyfish and corals to our plant, fungi, and single-celled neighbors (such as bacteria), the pressure to live and reproduce is no less intense, and the value of learning is undiminished.

Recent research on the brainless has probed the murky origins and inner workings of cognition itself, and is forcing us to rethink what it means to learn.

Given these perks, it’s no wonder scientists have tried recreating skin in the lab. Artificial skin could, for example, cover robots or prosthetics to give them the ability to “feel” temperature, touch, or even heal when damaged.

It could also be a lifesaver. The skin’s self-healing powers have limits. People who suffer from severe burns often need a skin transplant taken from another body part. While effective, the procedure is painful and increases the chances of infection. In some cases, there might not be enough undamaged skin left. A similar dilemma haunts soldiers wounded in battle or those with inherited skin disorders.

Recreating all the skin’s superpowers is tough, to say the least. But last week, a team from Wake Forest University took a large step towards artificial skin that heals large wounds when transplanted into mice and pigs.

It is now apparent that the mass-produced artifacts of technology in our increasingly densely populated world—whether electronic devices, cars, batteries, phones, household appliances, or industrial robots—are increasingly at odds with the sustainable bounded ecosystems achieved by living organisms based on cells over millions of years.

Cells provide organisms with soft and sustainable environmental interactions with complete recycling of material components, except in a few notable cases like the creation of oxygen in the atmosphere, and of the fossil fuel reserves of oil and coal (as a result of missing biocatalysts).

However, the fantastic information content of biological cells (gigabits of information in DNA alone) and the complexities of protein biochemistry for metabolism seem to place a cellular approach well beyond the current capabilities of technology, and prevent the development of intrinsically sustainable technology.

In recent years, roboticists have developed increasingly sophisticated robotic systems designed to mimic both the structure and function of the human body. This work includes robotic hands, grippers that allow robots to grasp objects and manipulate them like humans do while completing everyday tasks.

Ideally, robotic hands should be able to perform highly precise movements, while also being relatively affordable and easy to fabricate. However, most bio-inspired skeleton structures for robotic hands introduced so far have highly intricate designs containing numerous advanced components, which makes them difficult to fabricate on a large scale.

Researchers at Massachusetts Institute of Technology (MIT) recently created a new highly precise that could be easier to upscale, as its components can be crafted using commonly employed techniques, such as 3D printing and laser cutting. Their robotic hand, introduced in a paper published in the journal 2023 IEEE International Conference on Soft Robotics (RoboSoft), is based on a so-called modular structure, meaning that it comprises multiple that can be rearranged to achieve different movements.

Mayo Clinic research has developed a new type of chimeric antigen receptor-T cell therapy (CAR-T cell therapy) aimed at killing B-cell blood cancers that have returned and are no longer responding to treatment. This pioneering technology, designed and developed in the lab of Hong Qin, M.D., Ph.D., killed B-cell tumors grown in the laboratory and tumors implanted in mouse models. The preclinical findings are published in Cancer Immunology, Immunotherapy.

“This study shows our experimental CAR-T cell therapy targets several blood cancers, specifically chronic lymphocytic leukemia,” says Dr. Qin. “Currently there are six different CAR-T cell therapies approved for treatment of relapsed blood cancers. While the results are impressive, not everyone responds to this treatment. Our goal is to provide novel cell therapies shaped to each patient’s individual need.”

Dr Qin’s team developed a cell therapy to target a protein known as B-cell activating factor receptor (BAFF-R) found in patients with B-cell cancers, particularly those with chronic lymphocytic leukemia. The BAFF-R protein is linked to tumor growth. The cell therapy under investigation allows the immune system to quash cancer and target tumors that have returned or have resisted available CAR-T cell therapies.