Changing the long search for rare disease diagnoses with new AI breakthrough
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 13:15 ET (2-Apr-2026 17:15 GMT/UTC)
A newly developed AI tool can dramatically speed up the search for the genetic causes of rare diseases, a process that often takes years and frequently ends without answers. The tool analyzes how genes have evolved across many species to uncover hidden clues about which gene is responsible for a patient’s symptoms. In tests, it successfully identified the disease-causing gene in most cases, even when that gene had never previously been linked to a disease. This approach could significantly shorten the diagnostic journey and help guide doctors toward effective treatments much sooner.
A new review links three forces shaping osteoarthritis: mechanical stress, integrin signaling, and integrin endocytosis. The authors argue that integrin trafficking can reprogram where and how long signals persist in joint cells, helping explain stage-dependent effects and pointing to new biomarker and therapy ideas, from small molecules to RGD biomaterials and MSC-based approaches.
To address the challenge of wireless signals being blocked by seats or passengers, a team led by Professor Jingjing Zhang from Southeast University and Professor Yu Luo from Nanjing University of Aeronautics and Astronautics developed a transparent metasurface smart window. Utilizing "self-accelerating" and "self-healing" Weber beams, the technology allows signals to bypass obstacles and recover automatically. Experiments show an average signal power increase of 8.37 dB, providing a practical solution for 5G vehicular communications.
Researchers have found a way to turn plastic waste into clean fuel using nothing but flowing water. By pairing special crystals with methane-producing microbes, they created a self-powered system that converts disposable cups and straws into methane gas while capturing CO₂—offering a sustainable solution to plastic pollution.
Researchers have developed a new brain–computer interface that records neural signals from the brain’s lateral ventricle, a fluid-filled cavity traditionally used only for clinical drainage. Using a lantern-inspired expandable electrode, the system delivers stable, high-quality recordings for months and decodes memory-guided decisions with up to 98% accuracy in rats. The approach reduces immune response compared with conventional cortical implants and opens a new route for long-term, minimally invasive brain–machine interfaces.
This special issue focuses on the latest research progress in 6G technology development, standard formulation, and engineering practice, based on our previous special issue titled 6G Requirements, Vision, and Enabling Technologies, published in 2022. The current special issue contains 13 papers.