A new review published in Engineering explores the advancements in hand–eye coordination technology for agricultural robots, highlighting their potential to address labor shortages and enhance efficiency in complex farming tasks. The study examines various configurations of hand–eye systems, calibration methods, and control strategies, emphasizing the importance of accurate target perception and collision-free handle. While significant progress has been made, ongoing challenges such as maintaining calibration accuracy and replicating human dexterity remain. The findings suggest that continued innovation in hand–eye coordination could play a crucial role in the future development of smart agriculture.

A new study published in Engineering offers detailed insights into the potential areas for high-yield finfish mariculture. By integrating advanced physiological models with the spatiotemporal heterogeneity of marine environments, researchers have mapped suitable and high-yield areas for 27 commercial finfish species under current and future climate scenarios. The findings indicate that finfish mariculture could play a significant role in global food security as suitable areas are projected to increase by 2050.

A new study published in Engineering offers a novel approach to addressing environmental challenges in coal mining by integrating the treatment of coal mine goafs, utilization of coal-based solid waste, and sequestration of CO₂ through mineralization. This method not only enhances the mechanical properties of filling materials but also significantly increases CO₂ sequestration capacity, providing a sustainable solution for the coal industry.

In a groundbreaking study, researchers from the HUN-REN Centre for Ecological Research have developed a novel three-dimensional modeling method that accurately quantifies how microalgae affect underwater light conditions—one of the most critical factors in aquatic ecosystem health.

This study published in Engineering offers new insights into the impact of alcoholic liver disease (ALD) on post-transplant outcomes in patients with hepatocellular carcinoma (HCC) and hepatitis B virus (HBV) infection. Researchers found that ALD significantly increases the risk of HBV reactivation and worsens survival outcomes following liver transplantation. Using advanced machine learning techniques, the study identified key metabolic factors associated with HBV reactivation and developed a novel risk stratification index to better predict patient outcomes. The findings highlight the importance of considering ALD in the management of liver transplant recipients with HBV-related HCC.

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within tumours, opening doors for more targeted therapies for patients.