A structural phenomenon traditionally confined to inanimate systems has now been observed in biology.
Join Dame Angela McLean, the Government’s Chief Scientific Adviser, as she discusses the transformative potential of the field of engineering biology.
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The field of engineering biology uses the whole span of biological sciences in conjunction with technology and engineering to benefit multiple sectors and our society more broadly.
But as a relatively new field, scientists still have many unanswered questions. What are the key opportunities and risks it presents? What barriers stand in the way of engineering biology revolutionising society?
Dame Angela McLean, the Government Chief Scientific Adviser, has been considering the scientific evidence behind the many claims – both utopian and dystopian – associated with research and innovation in engineering biology. In this Discourse, Dame Angela shares what she has learned from her “Year of Engineering Biology”, describing her vision for this suite of technologies and the applications she expects to emerge over the next decade and beyond.
UCLA researchers have made a significant discovery showing that biological brains and artificial intelligence systems develop remarkably similar neural patterns during social interaction. This first-of-its-kind study reveals that when mice interact socially, specific brain cell types synchronize in “shared neural spaces,” and AI agents develop analogous patterns when engaging in social behaviors.
The study, “Inter-brain neural dynamics in biological and artificial intelligence systems,” appears in the journal Nature.
This new research represents a striking convergence of neuroscience and artificial intelligence, two of today’s most rapidly advancing fields. By directly comparing how biological brains and AI systems process social information, scientists reveal fundamental principles that govern social cognition across different types of intelligent systems.
Clean, safe water is vital for human health and well-being. It also plays a critical role in our food security, supports high-tech industries, and enables sustainable urbanization. However, detecting contamination quickly and accurately remains a major challenge in many parts of the world.
A new device developed by researchers at the National University of Singapore (NUS) has the potential to significantly advance water quality monitoring and management.
Taking inspiration from the biological function of the oily protective layer found on human skin, a team of researchers led by Associate Professor Benjamin Tee from the Department of Materials Science and Engineering in the College of Design and Engineering at NUS translated this concept into a versatile material, named ReSURF, capable of spontaneously forming a water-repellent interface.
When the first reports of a new COVID-19 variant emerge, scientists worldwide scramble to answer a critical question: Will this new strain be more contagious or more severe than its predecessors? By the time answers arrive, it’s frequently too late to inform immediate public policy decisions or adjust vaccine strategies, costing public health officials valuable time, effort, and resources.
In a pair of recent publications in Proceedings of the National Academy of Sciences, a research team in the Department of Chemistry and Chemical Biology combined biophysics with artificial intelligence to identify high-risk viral variants in record time—offering a transformative approach for handling pandemics. Their goal: to get ahead of a virus by forecasting its evolutionary leaps before it threatens public health.
“As a society, we are often very unprepared for the emergence of new viruses and pandemics, so our lab has been working on ways to be more proactive,” said senior author Eugene Shakhnovich, Roy G. Gordon Professor of Chemistry. “We used fundamental principles of physics and chemistry to develop a multiscale model to predict the course of evolution of a particular variant and to predict which variants will become dominant in populations.”
If humans are ever going to live beyond Earth, they’ll need to construct habitats. But transporting enough industrial material to create livable spaces would be incredibly challenging and expensive. Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) think there’s a better way, through biology.
An international team of researchers led by Robin Wordsworth, the Gordon McKay Professor of Environmental Science and Engineering and Professor of Earth and Planetary Sciences, have demonstrated that they can grow green algae inside shelters made out of bioplastics in Mars-like conditions. The experiments are a first step toward designing sustainable habitats in space that won’t require bringing materials from Earth.
In lab experiments that recreated the thin atmosphere of Mars, Wordsworth’s team grew a common type of green algae called Dunaliella tertiolecta. The algae thrived inside a 3D-printed growth chamber made from a bioplastic called polylactic acid, which was able to block UV radiation while transmitting enough light to allow the algae to photosynthesize.
The algae was kept under a Mars-like 600 Pascals of atmospheric pressure – over 100 times lower than Earth’s — and in a carbon dioxide-rich environment, as opposed to mostly nitrogen and oxygen like on Earth. Liquid water cannot exist at such low pressures, but the bioplastic chamber created a pressure gradient that stabilized water within it. The experiments point to bioplastics as potentially key to creating renewable systems for maintaining life in a lifeless environment.
The concept the researchers demonstrated is closer to how organisms grow naturally on Earth, and it contrasts with an industrial approach using materials that are costly to manufacture and recycle.
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 radioactive iodine contaminants. Their research is published in the Journal of Hazardous Materials.
Light pollution, or artificial light at night (ALAN), is a widespread phenomenon in areas with dense human populations. Normally, animals use natural external cues, like sunlight and temperature, to synchronize their biological rhythms with the day-night cycle. However, ALAN is known to affect the biological rhythms of animals living within its range by altering physiological, molecular and behavioral mechanisms related to sleep-wake cycles (circadian rhythms).