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Predictive rule reveals which sulfur-based building blocks create sustainable, degradable plastics

Plastics pose a significant waste problem: many conventional plastics do not degrade, or do so only with great difficulty. This makes research into new plastics essential—materials that retain useful properties but can also be deliberately broken down or recycled. Such innovations could lead to more sustainable materials, enabling the use of plastics in a way that conserves resources over the long term.

According to a study published in the journal Angewandte Chemie International Edition, incorporating sulfur atoms into polymer chains makes them more degradable.

Sulfur atoms enhance the sustainability of polymers because the bonds between carbon and sulfur atoms are easier to break than the bonds between carbon and other carbon or . This allows sulfur-containing plastics to degrade under relatively mild conditions. However, strategies for synthesizing these plastics are still underdeveloped, which hinders large-scale production.

Scientists map dendritic cell reactions to mRNA vaccines

Belgian scientists have uncovered new details about how the immune system responds to vaccines. Dendritic cells, which are key immune messengers that help kick-start the body’s defenses, show specific responses to lipid nanoparticles. These findings, published in Cell Reports, could lead to safer and more effective vaccines.

Dendritic cells are among the first to detect viruses, bacteria, or other immune challenges. These cells help coordinate the immune system’s response by alerting T cells, the immune system’s soldiers trained to eliminate threats. But dendritic cells don’t always respond in the same way. Some keep the immune system calm and balanced (homeostatic), while others drive a full immune attack (immunogenic).

Until now, little was known about what determines these different responses, especially when dendritic cells encounter vaccines.

‘Spirit of American innovation’: Melania Trump launches nationwide AI contest for students

Students who sign up for the project will be guided by educators. They will work in teams to understand how AI technologies can be used to address challenges in their communities.

The project is aimed at bringing students and educators together “to solve real-world problems in their communities using AI-powered solutions with an opportunity to showcase their solutions at a national level.” According to the White House website, the initiative focuses on empowering the next generation “to explore and innovate within this rapidly evolving field.”

All students who take part in the competition will recieve a certificate, while the national winners will be awarded cash prizes, cloud credits and an invitation to showcase their work at the White House.

Statistical mechanics method helps machines better understand complex systems

A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from predator-prey relationships to traffic patterns in cities to how populations grow and shift—using artificial intelligence (AI) and physics.

The research, published in Physical Review Research, introduces a new method based on to improve the discovery of equations directly from noisy real-world data. Statistical mechanics is a branch of physics that explains how collective behavior emerges from individual particles, such as how the random motion of gas molecules leads to predictable changes in pressure and temperature.

In this new work, statistical mechanics is used to understand how different mathematical models “compete” when trying to explain a system. This matters because many scientific fields rely on understanding how systems change over time, whether tracking disease spread, analyzing or predicting the stock market. But real-world data is often messy, and traditional AI models can be unreliable when the data gets noisy or incomplete.

The Rise of Mechanobiology for Advanced Cell Engineering and Manufacturing

The rise of cell-based therapies, regenerative medicine, and synthetic biology, has created an urgent need for efficient cell engineering, which involves the manipulation of cells for specific purposes. This demand is driven by breakthroughs in cell manufacturing, from fundamental research to clinical therapies. These innovations have come with a deeper understanding of developmental biology, continued optimization of mechanobiological processes and platforms, and the deployment of advanced biotechnological approaches. Induced pluripotent stem cells and immunotherapies like chimeric antigen receptor T cells enable personalized, scalable treatments for regenerative medicine and diseases beyond oncology. But continued development of cell manufacturing and its concomitant clinical advances is hindered by limitations in the production, efficiency, safety, regulation, cost-effectiveness, and scalability of current manufacturing routes. Here, recent developments are examined in cell engineering, with particular emphasis on mechanical aspects, including biomaterial design, the use of mechanical confinement, and the application of micro-and nanotechnologies in the efficient production of enhanced cells. Emerging approaches are described along each of these avenues based on state-of-the-art fundamental mechanobiology. It is called on the field to consider mechanical cues, often overlooked in cell manufacturing, as key tools to augment or, at times, even to replace the use of traditional soluble factors.


Current manufacturing workflows for CAR-based immunotherapies, particularly CAR T, and the emerging CAR NK and CAR macrophage platforms, generally involve four key stages: (i) isolation of primary immune cells or their precursors, (ii) cell activation or differentiation, (iii) genetic modification with CAR constructs, most often via viral vectors or electroporation (EP), and (iv) expansion or preparation for reinfusion. Among these, transfection remains the most critical and technically challenging step, directly influencing the functionality, safety, and scalability of the final product.

In clinical-scale production, EP remains the most widely used non-viral method for gene delivery into immune cells, yet it is increasingly recognized as suboptimal, particularly when delivering large or complex CAR constructs. It suffers from inefficient nuclear delivery, high cell toxicity, and poor functional yields of viable, potent CAR-expressing cells.[ 113 ] These limitations are further exacerbated in more fragile or less permissive cell types, such as NK cells and macrophages, which show lower transfection efficiencies and greater sensitivity to electroporation-induced stress.[ 114 ] Viral vectors, while still dominant in clinical manufacturing, present their own challenges: they are constrained by limited cargo capacity, are costly to produce at scale, and raise regulatory and safety concerns, especially when applied to emerging CAR-NK and CAR macrophage therapies that require flexible, transient, or multiplexed genetic programs.[ 115 ]

In contrast to immune-cell engineering, stem cell-based approaches present a different set of challenges and engineering requirements. While immune cells are genetically modified to enhance cytotoxicity[ 116 ] and specificity or to mitigate excessive T-cell activation,[ 117 ] stem cells must be engineered to control self-renewal, lineage commitment, and functional integration, often requiring precise, non-integrative delivery of genetic or epigenetic modulators (e.g., mRNA, episomal vectors) to maintain cellular identity and safety.[ 118 ] Stem cells hold exceptional therapeutic promise due to their capacity for self-renewal and differentiation into specialized cell types, supporting applications in personalized disease modeling, tissue repair, and organ regeneration.[ 119 ] However, engineering stem cells in a safe, efficient, and clinically relevant manner remains a major challenge. Conventional delivery methods, such as viral vectors and EP, can compromise genomic integrity,[ 120 ] reduce viability,[ 118 ] and induce epigenetic instability,[ 121 ] limiting their translational potential.

US taps 11 nuclear reactor projects to speed up clean energy goals

US taps 11 firms to fast-track advanced nuclear reactor projects by 2026.


The United States has picked 11 advanced reactor projects to begin President Trump’s Nuclear Reactor Pilot Program.

The US Department of Energy (DOE) announced on Tuesday that it will work, alongside the industry, with these 11 projects to construct, operate, and achieve criticality of at least three test reactors using the DOE authorization process by July 4, 2026.

The selection is a major step towards streamlining nuclear reactor testing and opening a new pathway toward fast-tracking commercial licensing activities.

Startup turns mining waste into critical metals for the U.S

Today, China dominates the processing of rare earth elements, refining around 60 percent of those materials for the world. With demand for such materials forecasted to skyrocket, the Biden administration has said the situation poses national and economic security threats.

Substantial quantities of rare earth metals are sitting unused in the United States and many other parts of the world today. The catch is they’re mixed with vast quantities of toxic mining waste.

Phoenix Tailings is scaling up a process for harvesting materials, including rare earth metals and nickel, from mining waste. The company uses water and recyclable solvents to collect oxidized metal, then puts the metal into a heated molten salt mixture and applies electricity.

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