Precision in a shot: Transforming gold nanocubes into diagnostic-grade spheres
Peer-Reviewed Publication
Updates every hour. Last Updated: 15-Jul-2025 17:11 ET (15-Jul-2025 21:11 GMT/UTC)
How can additive manufacturing and metamaterials improve healthcare for aging populations? In a review published in the International Journal of Extreme Manufacturing, researchers examine how 3D printing technologies—particularly laser powder bed fusion and vat photopolymerization—are used to create personalized implants and tissue models using metals, polymers, and even living cells. Their work highlights the role of bioinspired lattice structures and mechanical metamaterials in addressing age-related biomedical challenges and advancing the future of regenerative medicine.
The small intestine is not only crucial for digestion but also for immune regulation and microbial balance. In a review, Chinese researchers summarize how specialized epithelial cells—Paneth and tuft cells—and associated immune cells maintain intestinal homeostasis. The review also explores how dysfunction in these cells contributes to chronic diseases such as IBD, obesity, and diabetes. The findings may guide future therapies targeting intestinal cell function to treat both gastrointestinal and metabolic disorders.
A newly published review reveals that climate extremes are increasingly striking in combination—and their compounding impact is posing a growing threat to public health across China.
A study published by Associate Professor Yanfei Li’s team from Hunan Agricultural University in Frontiers of Agricultural Science and Engineering provides an innovative solution to this challenge (DOI: 10.15302/J-FASE-2025613).
A study led by Professor Hui Liu from Central South University, published in Frontiers of Agricultural Science and Engineering (DOI: 10.15302/J-FASE-2024599), introduces a hybrid deep learning model named “ICEEMDAN-LZC-BVMD-SSA-DELM”, which significantly enhances the prediction accuracy of soybean futures prices. By integrating multi-stage data preprocessing and intelligent optimization algorithms, the model addresses limitations of traditional methods in noise handling, parameter tuning, and generalization capabilities, offering new insights for risk management in agricultural financial markets.