A research team from the Swire Institute of Marine Science (SWIMS) and the School of Biological Sciences of The University of Hong Kong (HKU) has helped address this question by developing an innovative mathematical model that allows conservationists to easily assess feeding strategies of different giant clam species. This knowledge can help conservationists to predict the future vulnerability of different giant clam species and identify those in need of timely protection. 

A research team at Chalmers University of Technology, Sweden, has developed new laser technology that could lead to tiny, cost-effective biosensors. The sensors integrate lasers and optics together on a centimeter-sized chip, which could move testing from hospitals to patients' homes. This, in turn, would free up hospital beds and reduce visits to clinics.

A research team led by Dr. Sung Mook Choi of the Energy & Environment Materials Research Division at the Korea Institute of Materials Science (KIMS), in collaboration with a team headed by Professor Seung-Hwa Lee at Changwon National University, has successfully designed and developed a proprietary non-precious metal oxygen evolution reaction (OER) catalyst featuring a layered structure optimized for anion exchange membrane water electrolysis (AEMWE) environments.

Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with bladder cancer undergoing radical cystectomy.

Lotta Gränse, ophthalmologist and researcher Lund University and Skåne University Hospital in Sweden has demonstrated that eye drops containing cortisone can prevent the development of the very serious eye disease ROP in infants. This has revolutionised treatment and means that the majority of children in Sweden’s Southern Healthcare Region with severe ROP do not need conventional treatment under anaesthesia to avoid serious visual impairment or blindness. The study has been published in the highly ranked journal Ophthalmology.

The development of drug resistance, a natural consequence of cancer progression, has become a major obstacle to effective treatment. Due to the overexpression of drug resistance-related proteins and the distinctive properties of resistant cell membranes, achieving efficient internalization of nanomedicines into these cells remains highly challenging. Surface charge engineering has proven pivotal in nanomedicine design, with electrostatic interaction–mediated membrane anchoring of nanocarriers representing a critical breakthrough for advancing drug-resistant cancer therapy.

Diffusion barrier materials (DBMs) are critical for the stability and efficiency of thermoelectric devices. This study presents a streamlined approach for DBM screening in metal chalcogenide-based devices, substitution energy as a simplified criterion within the conventional DFT-based framework. A device comprising seven pairs of Ag₂Se/MgAgSb legs, with Ni employed as the DBM for the Ag₂Se legs, demonstrates excellent cooling performance.