Calcium-sensitive switch boosts the efficacy of cancer drugs
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Apr-2026 23:17 ET (22-Apr-2026 03:17 GMT/UTC)
Cancer-fighting antibody drugs are designed to penetrate tumor cells and release a lethal payload deep within, but too often they don’t make it that far. A new study shows how this Trojan Horse strategy works better by exploiting calcium differences outside and inside cells. A research team led by Sophia Hober, professor at KTH Royal Institute of Technology, reported the development of a calcium activated delivery system they say could enable more precise treatment, with lower doses and less collateral damage to healthy tissue.
Tropical cyclones can unleash extensive devastation, as recent storms that swept over Jamaica and the Philippines made unmistakably clear. Accurate weather forecasts that buy more time to prepare are crucial for saving lives and are rooted in a deeper understanding of climate systems. Driving this forward, researchers at the Institute of Science and Technology Austria (ISTA) and others have successfully identified a previously unknown cyclic climate pattern by historical reanalysis of datasets and satellite observations. The findings are published in PNAS.
From power grids and transport to healthcare systems, the functioning of modern society relies on interconnected networks. When these systems fail, the consequences ripple quickly across sectors. In his doctoral dissertation at the University of Vaasa, Finland, Bahaa Eltahawy shows that safeguarding these networks requires a holistic approach. It is a societal necessity requiring coordination between technology, governance, and human behaviour.
Lehigh University researcher Hannah Dailey is leading a new international collaboration to improve predictions of how bone fractures heal. Supported by the U.S. National Science Foundation and the Swiss National Science Foundation, the four-year project partners with the AO Research Institute Davos (ARI) to develop computational models that combine mechanical factors—such as implant stiffness and loading patterns—with biological processes that vary from patient to patient. Using ARI’s extensive imaging library documenting fracture healing in sheep, the team will build probabilistic models capable of forecasting how recovery will progress. The models will ultimately be integrated into ARI’s online training platform to help surgeons understand how implant choices and rehabilitation strategies influence healing. Long term, the goal is to enable patient-specific simulations that help clinicians identify complications earlier and make more informed treatment decisions.