Diffusion and flow-based generative models have shown strong potential for image restoration. However, image denoising under unknown and varying noise conditions remains challenging, because the learned vector fields may become inconsistent across di... read more
Drone-view geo-localization (DVGL) aims to determine the location of drones in GPS-denied environments by retrieving the corresponding geotagged satellite tile from a reference gallery given UAV observations of a location. In many existing formulatio... read more
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Apr 2, 2026
As a dual-purpose plant with both medicinal and culinary applications, Gastrodia elata (GE) benefits from origin traceability and content prediction to guide quality assessment of its products. This study utilized HPLC to quantify the primary charact... read more
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Apr 2, 2026
Raman spectroscopy has demonstrated significant potential for rapid bacterial identification; however, bacterial spectral signatures are frequently confounded by complex culture medium background signals, leading to limited generalization under varyi... read more
Metabolic dysfunction-associated steatohepatitis (MASH) represents a growing global health challenge due to its propensity to progress to irreversible hepatic disorders, including fibrosis, cirrhosis, and carcinoma. This study aimed to investigate th... read more
BACKGROUND: Keratoconus (KC) is a degenerative corneal disease with a complex etiology that severely affects vision. Butyrate is a saturated short-chain fatty acid with anti-inflammatory properties. Accumulating evidence underscores a significant rol... read more
BACKGROUND: While machine learning (ML) models demonstrate high predictive accuracy, recent studies reveal that ML models underperform for smaller subcohorts such as racial and ethnic minorities, suggesting inherent ML biases that may exacerbate heal... read more
BACKGROUND: The adoption of artificial intelligence (AI) scribes has grown rapidly in recent years, aiming to improve clinical workflow, increase efficiency, and reduce administrative burden by transcribing doctor-patient interactions. These systems ... read more
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