Investigating astrocyte-neuron communication in the absence of neuron-to-neuron signalling is challenging using traditional culture systems due to the complexity of synaptic networks. To address this, we designed a three-compartment microfluidic co-c... read more
Accurate and early diagnosis of cancer is critical for determining effective treatment strategies and improving patient survival rates. However, automated multi-class cancer detection remains an enormous clinical and computational challenge due to th... read more
Early hospital readmission in multimorbid patients remains a major clinical challenge. Although risk stratification tools are widely used, predictive performance is often limited. The PROFUND index captures frailty, functional dependence, and social ... read more
Bone fractures in dogs are common orthopaedic conditions that require accurate diagnosis and rapid intervention. Traditional radiographic interpretation is often time consuming and is subject to variability, emphasizing the need for automated diagnos... read more
Automated weed identification in agriculture is a prominent and promising technological intervention as it improves the overall crop productivity and yield. But finding weeds in dense sesame fields is still hard because of occlusion and changes in li... read more
The increasing demand for precise and real-time analysis of athletic movements has driven the adoption of advanced deep-learning techniques in sports training. Traditional methods often rely on manual observation or shallow machine learning models, w... read more
The research is devoted to solving the urgent problem of industrial production intellectualization based on the creation of an intelligent HMI display using a unified artificial immune system (UAIS) with neuro-endocrine interaction technologies for t... read more
Electrochemical CN coupling between carbon sources (CO2, CO) and nitrogen feedstocks (NOx) offers a sustainable route to synthesize value-added organonitrogen compounds under ambient conditions. This strategy circumvents the high-temperature and mul... read more
INTRODUCTION: Quality management systems are essential in clinical laboratories to ensure optimal operational output. However, report generation still frequently relies on manual processes which are time-consuming and prone to errors. METHODS: A rule... read more
Discovery of catalytic materials requires systematic exploration of vast chemical spaces. However, the scope of exploration that can be achieved using conventional theoretical and experimental methods is very limited. Herein, we present a scalable fr... read more
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