Here, Dr. Yuhua Li from Xi'an University of Science and Technology, Prof. Rui Zhu from Shanghai University of Electric Power, Prof. Liqiang Wang from Shanghai Jiao Tong University, and Prof. Lai-Chang Zhang from Edith Cowan University, Australia, co-authored a review in the International Journal of Extreme Manufacturing. This review provides an in-depth introduction to the latest progress in additive manufacturing (AM) technology in the field of biomedical metals. It overviews how AM technology can be applied to the manufacturing of medical implants and focuses on the AM process, microstructure, mechanical properties, and corrosion behavior of a wide range of biomedical materials, such as titanium alloys, stainless steel, cobalt-chromium alloys, and biodegradable alloys. Additionally, the article covers the application of 4D printing technology and artificial intelligence in AM, and discusses practical application cases of AM technology in clinical fields such as orthopedics, dentistry, cardiovascular surgery, and neurosurgery. Finally, the article highlights the challenges and future directions of AM in the manufacturing of medical metal implants.

University of Texas at Arlington research projects contributed $59 million to the national economy in 2024—an increase of 39% from 2023, according to a new report from the Institute for Research on Innovation and Science (IRIS). UTA has invested heavily in research infrastructure, purchasing cutting-edge scientific equipment and technology, such as North Texas’ most advanced gene sequencer and a super-sensitive magnetic resonance imaging machine for the Clinical Imaging Research Center. The funds also support collaboration with other research organizations. 

AI is reshaping workplaces, particularly in retail. Researchers explored how AI service quality impacts retail employees’ innovation, job fit, and satisfaction. Findings show when employees perceive AI as reliable and empathetic, they are more likely to engage in innovative behavior. AI’s adaptability also plays a crucial role in enhancing service quality. While reliability strongly supports innovation, transparency and responsiveness had less influence than expected. Empathy in AI systems was found to have a significant positive effect on employee innovation, creating a more engaging work environment. The study underscores AI’s potential to drive service innovation in retail.