Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence with deep learning to enhance the precision of skin lesion classification. This innovative approach, which utilizes a weighted ensemble of transfer learning models and test time augmentation (TTA), promises to significantly improve the accuracy of skin cancer diagnosis. By distinguishing between benign and malignant lesions with remarkable precision, this research could pave the way for earlier, more effective treatments and potentially save countless lives.

A new study explores the intersection of industrial automation and environmental sustainability, focusing on the role of industrial robots in reducing the carbon intensity of manufacturing exports. The research demonstrates that robots can significantly lower CO₂ emissions in the manufacturing process. However, the study also uncovers a complex U-shaped relationship, where emissions initially drop but then plateau, highlighting the need for careful integration of robotics into manufacturing systems. These findings provide critical insights for industries seeking to minimize their environmental footprint while maintaining high productivity.

The emergence of Neisseria gonorrhoeae strains resistant to ceftriaxone, the last reliable treatment, poses significant public health threats.

Researchers have opened a transformative chapter in agricultural biotechnology by unveiling virus-induced genome editing (VIGE) techniques for Solanaceous crops, a group that includes tomatoes, potatoes, and eggplants.

A joint research team led by Prof. Jie Zhang found the reasons of discrepancies between experimental results of neutron spectral moment analyses and hydrodynamic predictions in nuclear burning plasmas in the recent inertial confinement fusion (ICF) experiments conducted at the National Ignition Facility, through unprecedented kinetic simulations incorporating large-angle collisions. These collisions generate supra-thermal ions during the deposition of alpha particles, causing deviations from the equilibrium state and falling outside the scope of the hydrodynamic descriptions. The kinetic simulations further reveal that large-angle collisions play a pivotal role in advancing the ignition moment and augmenting the deposition of α-particles in ICF nuclear burning plasmas.

Recently, a research team led by Prof. LI Chuanfeng from the University of Science and Technology of China (USTC) achieved a breakthrough in quantum photonics. They developed an on-chip photonic simulator capable of simulating arbitrary-range coupled frequency lattices with gauge potential. This study was published in Physical Review Letters.

A research team led by Prof. CHEN Yan at the University of Science and Technology of China (USTC) took a leap forward in cardiovascular health monitoring. They developed a non-invasive radio frequency (RF) based system capable of monitoring heart rate variability (HRV) with clinical-grade accuracy over extended periods. This research has been published in Nature Communications.