Ligand-protected metal hydride nanoclusters are crucial for applications in catalysis, luminescence, and energy technologies. However, accurately locating hydrogen atoms (hydrides) within these complex structures remains a significant challenge, hind... read more
This paper presents an AI-driven multisensor wearable system for real-time breathing pattern recognition by integrating an inertial measurement unit (IMU) and a flex sensor with wireless data connectivity. Three artificial intelligence models-transfo... read more
Collaborative learning in healthcare faces challenges, including strict regulations and fragmented data. This research introduces a federated learning framework that employs swarm intelligence to augment communication and enhance the analysis of medi... read more
International journal of oral science
May 11, 2026
Supramolecular hydrogels hold significant potential in drug delivery and tissue engineering, with standing out for their unique properties. Despite their promise, predicting nucleoside bioactivity remains challenging. This study aims to predict the b... read more
This study investigates the influence of geological characteristics and Soil-Water Characteristic Curve (SWCC) parameters on the collapse potential (CP) of unsaturated soils from loessic and lacustrine-alluvial deposits in Iran. Laboratory experiment... read more
The OncotypeDX 21-gene assay guides adjuvant chemotherapy decisions in early-stage, hormone receptor-positive, HER2-negative breast cancer, but cost and turnaround time limit access. This study presents a deep learning-based approach for predicting O... read more
Soil temperature forecasting plays a key role in agriculture, hydrology, and climate modeling; however, existing deep learning models often show degraded performance in long-term prediction due to error accumulation, insufficient physical interpretab... read more
Dementia, particularly Alzheimer's disease (AD), is a growing concern in aging populations, with mild cognitive impairment (MCI) frequently progressing to AD. While existing studies often rely on comprehensive neuropsychological evaluations and asses... read more
The tumor microenvironment (TME) contains important morphological and molecular cues that help determine prognosis and therapeutic responses. Deep learning models can assist pathologists in assessing such biomarkers. However, generating high-quality ... read more
Peripheral intravenous extravasation poses significant clinical challenges, demanding accurate assessment for timely intervention. This study advances extravasation management by integrating Visual Question Answering (VQA) technology within the Thamm... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.