Using magnetic cameras, researchers at Linköping University, Sweden, have examined blood flow in an artificial heart in real time. The results make it possible to design the heart in a way to reduce the risk of blood clots and red blood cells breakdown, a common problem in today’s artificial hearts. The study, published in Scientific Reports, was done in collaboration with the company Scandinavian Real Heart AB, which is developing an artificial heart.

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical features based on the functional topological relationships between electrodes. The average accuracy of the fused features reaches 92.44%, which is significantly higher than that of a single wavelet basis (coif4: 67.67%, db4: 82.93%, sym4: 73.10%). It also demonstrates good stability and individual convergence in the leave-one-out verification, proving the effectiveness of the method.

The rapid advancement of artificial intelligence (AI) presents significant opportunities for both societies and industries. At the same time, however, it raises growing concerns about the increasing frequency and sophistication of cyberattacks. These cyber risks can lead not only to substantial direct financial losses for firms, but also to indirect losses stemming from reputational damage and cascading effects within interconnected systems. To enhance resilience in the face of such events, it is essential for scholars across disciplines to engage in rigorous analysis and interdisciplinary dialogue on the assessment and management of cyber risks.

27th September 2025 marks the centenary of the birth of Sir Robert Edwards, the reproductive biologist who with colleagues was responsible for the birth of the world’s first IVF baby in 1978. This briefing, drawing on reports from the journal Reproductive Biomedicine Online, which Edwards founded and edited from the year 2000, measures his achievements in terms of an estimated 20 million so far born as a result of IVF and the possibility that the technique may play some part in addressing the steep decline in world fertility rates.

Sylvester Comprehensive Cancer Center will co-lead a new $16M, multi-institutional clinical trial to evaluate whether artificial intelligence can help support radiologists in interpreting mammograms more accurately, with the goal of improving breast cancer screening and reducing unnecessary callbacks and anxiety for patients.