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Dengue fever poses a growing public health threat, necessitating enhanced vector surveillance focused on Aedes aegypti. While recent efforts integrate artificial intelligence (AI) and Internet of Things (IoT) into traditional traps (Biogents…
Electrochemical biosensors require electrode materials that are scalable, affordable, and effective for detecting target analyte. Laser-induced graphene (LIG) has emerged as a promising electrode material, yet traditional fabrication methods using expensive CO2 lasers…
Microplastics are common environmental contaminants that pose serious threats to ecosystems and human health. Detecting microplastics is challenging and time-consuming, and often requires specialized laboratories, expert knowledge, and lengthy procedures. Here, we…
Ensuring global food security remains a pressing challenge due to the growing world population and accelerating climate change. Genetic modification provides a pathway to developing crops with improved traits, yet conventional approaches…
AI-powered monitoring platforms can significantly enhance the accessibility and responsiveness of water quality assessment in decentralized and resource-limited settings. Conventional methods for detecting heavy metal ions, such as atomic absorption spectroscopy (AAS),…
Being a very simple and cost-effective way to improve crop growth, nanopriming has been widely adopted as an efficient and advanced technology in agriculture. In recent years, there has been a drive…
Microplastic (MP) contamination has become a major concern in recent times, posing a significant threat to the environment and human health. Existing techniques for MP detection require access to expensive and specialized…
Due to the growing concerns over heavy metal contamination and its adverse effects on environmental and public health, we propose a novel approach for non-contact detection of heavy metals, integrating microwave technology…
Tandem neural networks for inverse design can only make single predictions, which limits the diversity of predicted structures. Here, we use conditional variational autoencoder (cVAE) for the inverse design of core–shell nanoparticles.…
Basal-bolus insulin therapy is associated with frequent injections, dosing errors, and hypoglycemia risks. Integrating continuous glucose monitoring (CGM) with insulin pumps offers several advantages. However, current CGM systems lack accuracy and have…
