Three projects by professors and researchers at the Politecnico di Milano have received funding under ERC Proof of Concept grants. PROTECT, by Alessandro Filippo Maria Pellegata (Department of Chemistry, Materials and Chemical Engineering), aims to fill a knowledge gap with respect to drug safety in pregnancy. META-SENSE, conducted by the Department of Physics and coordinated by Margherita Maiuri, aims to develop a nanosensor to detect PFAS. Finally, the goal of the LANTERN project is to develop a method for microchip nanofabrication. It is led by Edoardo Albisetti, a professor in the Department of Physics.

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated classification of human stem cell-derived embryo models (blastoids). By leveraging a ResNet-18 architecture and a novel Confidence Rate metric, the model achieves up to 97% accuracy and processes images 1,000 times faster than human experts. This tool facilitates large-scale drug screening and basic research into early human development by providing a standardized, objective evaluation framework.

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke University, combines citizen bird observations with artificial intelligence and the computing power of supercomputers at CSC – IT Center for Science. The international and multidisciplinary research team has developed the world’s most accurate prediction model, capable of anticipating even small shifts in bird occurrence almost in real time. 

For the first time, researchers have experimentally discovered optical meron-antimeron pairs—a novel class of topological quasiparticles that were originally conceived in particle physics and later found in magnets, but had never been realized in optics. By employing group representation theory, the team not only generated these states in deep-subwavelength plasmonic systems but also established a complete symmetry classification that dictates their topological invariants. This framework reveals a fundamental chirality-parity locking effect and enables the creation of isolated merons. Harnessing the robustness of these symmetry-protected states, the work demonstrates an ultra-sensitive sensing application with a record λ/133 resolution, bridging abstract theory to practical photonic technology.

As an emerging branch of clinical medicine, microbiota medicine has attracted worldwide attention from clinicians, medical educators, patient communities, and industry. However, this developing field still lacks consensus on its fundamental principles as well as guidelines for clinical and educational practice. An expert panel was convened by the journal Microbiota Medicine Research at the 2025 CHINAGUT Conference to develop the principles and practice guidelines of microbiota medicine.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic mutation detection in cancer diagnostics and RNA-based genomic studies.

The School of Computing and Data Science (CDS) of the University of Hong Kong (HKU) has embarked on a new chapter, launching its first-ever dual-site semester across Hong Kong and Shanghai. As the 2025–2026 academic year enters its second semester, CDS students in the exclusive Tech Immersion Fellowship programme can now split their studies between HKU’s main campus and the newly opened HKU-CDS Teaching and Research Site in Shanghai—a strategic move that redefines cross-border tech education.