A nanosensor measured nitric oxide from patient-derived stem cells. Autism patients produced ~6nM, intellectual disability patients ~11nM, and healthy individuals ~65nM, despite sharing the same genetic mutation. This differential production suggests nitric oxide levels can distinguish autism from other neurodevelopmental disorders with overlapping causes, offering a potential biomarker for more precise diagnosis.

Three-dimensional computer vision is becoming more prevalent in everyday lives as advances in technology and its accessibility to the general population increase. This type of tech is seen in autonomous driving vehicles, augmented reality (AR), virtual reality (VR) and robotics, to name a few. However, historically, these types of technologies have been limited by their methods employed: LiDAR (light detection and ranging, a remote sensing tech used to measure distances) is limited by its cost and low-resolution to be as useful as it once was in the burgeoning field that is 3D computer vision. Researchers are looking towards something else: vision-based methods using depth foundation models.

3D CAD, even with the assistance of software, can be a laborious and time-consuming process. A group of researchers recently wrote a comprehensive review article outlining the current AI-driven 3D CAD state of the art and described challenges that must be overcome to increase the practicality of AI model use in 3D CAD workflows.

Two outstanding scientists have been awarded the annual Nano Research Award which is sponsored by Tsinghua University Press (TUP). Professor Xiangfeng Duan is the Distinguished Professor at University of California, Los Angeles. Professor Akira Fujishima is the Professor at Institute of Photochemistry and Photofunctional Materials, University of Shanghai for Science and Technology.