Engineers and scientists, as well as artists, have long been inspired by the beauty and functionality of nature’s designs. Japan designed high-speed trains to cut through the air as smoothly as the kingfisher cuts through water, for example, but useful designs can also be found at a microscopic level. The study of biology in combination with materials science is called biomateriomics. An Italian research team sees great potential in the application of generative artificial intelligence to this already interdisciplinary field. They have described this potential, and the associated limitations and challenges, in an open access review article titled “Generative Artificial Intelligence for Advancing Discovery and Design in Biomateriomics,” published May 1 in Intelligent Computing, a Science Partner Journal.

Pioneering conservation research conducted by the University of Sheffield has led to the first successful artificial incubation of Aldabra Giant Tortoises in the Seychelles

Tetrandrine, a compound isolated from the root of a traditional Chinese medicine (TCM) Stephania tetrandra, has shown promise in combating Ebola virus infection in previous studies. Its precise mechanism of action, however, had remained unclear. Researchers from The Hong Kong Polytechnic University (PolyU) have discovered that tetrandrine works by blocking the transport of sphingosine – a lipid molecule essential for cellular signalling – and inhibiting the calcium channels. Their research has revealed the critical mechanism of tetrandrine for the first time, opening new avenues for drug discovery and disease treatment.

A review paper by scientists at the University of Oxford highlights recent advancements in SMTE, including innovations in scaffold design, cell sourcing, usage of external physicochemical cues, and bioreactor technologies.

The review paper, published on May. 15, 2025 in the journal Cyborg and Bionic Systems, presented the emerging synergies between SMTE and robotics, focusing on the use of robotic systems to enhance bioreactor performance and the development of biohybrid devices integrating engineered muscle tissue.

A comprehensive atlas, available through a public web application, maps how genetic regulators guide B-cell development step by step and how these pathways can be disrupted in leukemia.

AlphaFold 3 (AF3), the latest AI model from Google DeepMind and Isomorphic Labs, can predict the structures and interactions of nearly all biomolecules with unprecedented accuracy, opening new avenues for drug design, vaccine development, and precision medicine.

Relative weights analyses showed the neglect/interference/punishment domain contributed most significantly (28.78%) to behavior problems in preschool children with developmental disabilities.

Temperature sensing plays a pivotal role in controlling and monitoring industrial, chemical, and biomedical systems. There are some complex internal space structures such as porous and zigzag in microscale or constrained environments. Traditional temperature measurement techniques such as thermocouples, infrared sensors, and fiber optics face larger challenges in such specific environments. This is not only due to their size but also because of limitations in mechanical flexibility, spatial adaptability, or contact requirements restrictions. To overcome these challenges, researchers have explored various nanoscale thermometers, including quantum dots, lanthanide-doped nanoparticles, and nitrogen-vacancy (NV) centers in diamond. These temperature measurement methods offer high spatial resolution and a broad temperature measurement range, but they typically require continuous light excitation and real-time fluorescence detection. It makes them difficult to implement effectively in complex porous structures or confined internal spaces.

In a comprehensive review that spans two decades, researchers are examining the profound impact of technological innovation on the journey towards carbon neutrality. The study, titled "Impact of Technological Innovation on Carbon Neutrality: Systematic and Bibliometric Review of Two Decades of Research," is led by Prof. Ephraim Bonah Agyekum from the Department of Nuclear and Renewable Energy at Ural Federal University Named After the First President of Russia Boris Yeltsin in Ekaterinburg, Russia. This review, conducted in collaboration with the Applied Science Research Center at Applied Science Private University in Amman, Jordan, and Tashkent State University of Economics in Tashkent City, Uzbekistan, offers a detailed analysis of how technological advancements have shaped the path to carbon neutrality.