New report highlights the potential for artificial intelligence to accelerate the real-world impact of research
Reports and Proceedings
Updates every hour. Last Updated: 25-Jan-2026 07:11 ET (25-Jan-2026 12:11 GMT/UTC)
Using Artificial Intelligence (AI) to Advance Translational Research (HEPI Policy Note 67), authored by Rose Stephenson, Director of Policy and Strategy at HEPI, and Lan Murdock, Senior Corporate Communications Manager at Taylor & Francis, draws on discussions at a roundtable of higher education leaders, researchers, AI innovators and funders, as well as a range of research case studies, to evaluate the future role of AI in translational research.
Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking their strengths, and mapping scalable, large-graph frontiers.
Researchers present HEGAT, the first interpretable, fine-grained model that jointly predicts document-level event factuality and extracts evidential sentences, achieving SOTA on their refined EB-DEF-v2 corpus.
To ensure that the tissue structures of biological samples are easily recognisable under the electron microscope, they are treated with a staining agent. The standard staining agent for this is uranyl acetate. However, some laboratories are not allowed to use this highly toxic and radioactive substance for safety reasons. A research team at the Institute of Electron Microscopy and Nanoanalysis (FELMI-ZFE) at Graz University of Technology (TU Graz) has now found an environmentally friendly alternative: ordinary espresso. Images of the samples treated with it were of equally good quality as images of comparative samples, which were prepared with uranyl acetate. The researchers have published their findings in the journal Methods.
Scientists at the University of Connecticut have developed a handheld ‘pocket microscope’ that directly visualizes DNA and proteins in living cells without stains or labels. The system uses deep-ultraviolet light to map molecules with femtogram sensitivity, achieving 308-nanometer resolution across centimeter-wide areas. The device enables instant pathology diagnosis, identifies cancer cells, and maps brain neurons -- all while preserving samples’ natural state. This technology could transform medical diagnostics, from operating rooms to space missions.
In International Journal of Extreme Manufacturing, researchers have created a new class of ultrathin hydrogel electrodes that could finally make long-term wearable health monitoring practical, bringing the promise of 24/7 and high-fidelity health monitoring closer to reality.