Data availability The WSIs, nephrographic CT scans, and annotation data used for both the training and validation sets are subject to institutional restrictions. Due to patient privacy obligations and Institutional Review Board (IRB) approvals, these data are not publicly available. However, they can be accessed upon reasonable request from the corresponding author, pending approval from

References Awuchi, C. G. HACCP, quality, and food safety management in food and agricultural systems. Cogent Food Agric. 9 (1), 2176280. https://doi.org/10.1080/23311932.2023.2176280 (2023). Google Scholar  Rashid, J., Khan, I., Ali, G., Rehman, S. U. & Alturise, F. Real-time multiple guava leaf disease detection from a single leaf using hybrid deep learning technique. Comput. Mater. Contin.

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing demand for smaller, faster, and more powerful chips. As the speed of innovation continues to advance, so does the pressure on semiconductor manufacturers to detect and address defects and inconsistencies with near-perfect accuracy to

Introduction Simulation-based medical education (SBME) is a core component of healthcare professions education that helps the learners develop clinical skills in a safe, controlled, and reproducible environment.1 Simulation is defined as a technique used to replace or amplify real experiences with guided experiences, often immersive in nature, that evoke or replicate substantial aspects of the

Abstract The emerge of Generative Artificial Intelligence (GenAI) sparked diverse reactions within the educational sector, from enthusiasm to prohibition. The core question is no longer whether educators should use GenAI, but rather what skills, knowledge, and mindset they need to use AI effectively and responsibly. Educational AI literacy focuses on the competencies educators must develop

Six of the world’s most advanced manufacturing sites are in Singapore – the highest concentration of such facilities in South-east Asia. Spanning sectors from life sciences instruments and consumer goods to semiconductors, these facilities are key manufacturing nodes for leading companies Agilent, Coca-Cola, HP, Infineon, Micron and – the latest addition in September 2025 –

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After Hours – Gift Ojeabulu What began as a childhood fascination with computers in Lagos cyber cafés has evolved into a career in machine learning, data science, and MLOps. And while he initially wanted to become a medical doctor, Gift Ojeabulu found his way back to tech, with a few stops along the way as