The dual goals of digital transformation and carbon neutrality have driven the interest in high-performance functional materials and environmental sustainability associated with their applications. As a new type of natural material, nanocellulose (NC... read more
Treating androgenetic alopecia (AGA) with platelet-rich plasma (PRP) holds great promise; however, effective and comfortable delivery remains a challenge. Direct injection causes pain, and PRP-incorporated microneedles (MNs) have low hardness and slo... read more
The development of photoelectrochemical (PEC)-coupled dual-mode biosensors, combined with multivariate regression analysis, is pivotal for advancing point-of-care disease marker diagnostics. Herein, we present a machine learning (ML)-powered dual-cha... read more
STATEMENT OF PROBLEM: The use of artificial intelligence (AI) applications in dentistry is increasingly widespread. However, studies evaluating their success in tooth color matching are limited. read more
This review synthesizes current evidence regarding optimal breast cancer screening strategies for women with dense breasts, a population at increased risk due to decreased mammographic sensitivity. A systematic literature review was performed in acco... read more
As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional manag... read more
BACKGROUND: Neonatal jaundice is highly prevalent in newborns globally, requiring vigilant monitoring to prevent severe complications such as brain damage. Current detection methods, including invasive blood tests and expensive bilirubinometers, have... read more
Our special issue on "Longitudinal Analysis in Geospatial Health Applications" highlights major advances in understanding how dynamic environments shape health across the life course. Featuring innovative methods, including medical informatics, artif... read more
RATIONALE AND OBJECTIVES: We developed a machine learning model comprising morphological characteristics, enhancement dynamics, and extracellular volume (ECV) fractions for distinguishing malignant and benign small renal masses (SRMs), supporting per... read more
In healthcare, the integration of multimodal data is pivotal for developing comprehensive diagnostic and predictive models. However, managing missing data remains a significant challenge in real-world applications. We introduce MARIA (Multimodal Atte... read more
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