BACKGROUND: With the high pace of development in technology worldwide, Artificial intelligence (AI) has given a new horizon to the world of medicine and dentistry. Numerous research studies have been carried out over the past decade that have assesse... read more
Triboelectric nanogenerators (TENGs) hold great promise as self-powered sensors, but their practical applications are limited by charge leakage at high filler concentrations, coupled pressure-frequency responses, and poor discrimination of materials ... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jan 21, 2026
The immune microenvironment influences the sensitivity of patients to radiotherapy (RT), yet determinants of therapeutic resistance remain elusive. This study integrates single-cell transcriptomics and machine learning to delineate immune predictors ... read more
Effectively managing eutrophic estuaries under climate change requires a quantitative understanding of how microbial communities respond to multiple environmental stressors. However, predicting these responses is challenging due to complex, non-linea... read more
This study examines the biosorption capacity of raw wood chip (WC) and cetyltrimethylammonium bromide-modified wood chips (WC-CTAB) in removal of Congo Red (CR) dye from aqueous solutions using integrated batch-column approach combined with artificia... read more
With the rapid proliferation of generative artificial intelligence (GenAI), increasing scholarly attention has been directed toward college students' dependence on such tools. Using a questionnaire survey of 1099 college students, this study examined... read more
Acquiring awareness, understanding, and emotional engagement with generative artificial intelligence (AI) is crucial for enhancing service delivery and attracting new users. This study investigates user experiences with generative AI through comprehe... read more
Electrocardiograms (ECGs) play a crucial role in cardiovascular healthcare, requiring effective analytical models. ECG analysis is inherently hierarchical, involving multiple temporal scales from individual waveforms to intervals within heartbeats, a... read more
A variety of AI-based approaches have been employed to analyze complex genomic datasets. Predicting the synergy of drug combinations is a critical step toward optimizing cancer treatment by identifying the most effective drug pairs. This study presen... read more
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