A review paper by scientists at Capital Medical University presented an integrated framework for evaluating artificial intelligence across stroke rehabilitation prediction, assessment, intervention, and long-term management, while distinguishing technical performance from clinical readiness and rehabilitation benefit.

The review paper, published on Oct 8, 2026 in the journal Cyborg and Bionic Systems.

Discover how 12 candidate indicators, based on studies in mice, could make developing anti-aging interventions faster—while offering new insights into age-related diseases.

Self-driving electric taxi fleets could make transportation more efficient and sustainable, but only if vehicles can continuously make smart decisions about where to drive and when to recharge. Researchers at Chalmers University of Technology in Sweden have now developed a new optimisation method that enables near-optimal large scale fleet control while accounting for uncertainties that arise in real-world transport systems.

In the future, quantum computers could solve complex problems where today’s computers fall short, for example in the development of new materials or supply-chain planning. To date, however, the systems have been prone to errors and their use is mainly limited to research labs. Moreover, software development standards are still lacking. In a joint research project led by the Fraunhofer Institute for Industrial Engineering (IAO), researchers from the Karlsruhe Institute of Technology (KIT) and the FZI Research Center for Information Technology are now developing a holistic reference architecture for quantum software – a world first. After all, even the most powerful computers are useless if suitable programs are missing.

New active ingredients for drugs to treat infections, cancer, or other serious diseases are often based on substances originally discovered in microorganisms, plants, or other living organisms. Producing or improving such active ingredients in a targeted manner using microorganisms is often challenging because the underlying biological processes are extremely complex. Researchers at the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) have now shown that artificial intelligence can help with this task. Using AI, they developed novel protein building blocks for biological production systems. The researchers published their findings in the journal Nature Communications.

The start of a new battery materials library could pave the way for future AI models to help scientists design sodium-ion batteries that charge faster, last longer and store more energy, according to new research from the University of Surrey.