Spectroscopy serves as a bridge between experimental observations and quantum mechanical principles, linking molecular microstructure to macroscopic material properties. Despite its central importance, establishing quantitative structure-property rel... read more
Most existing illumination-editing approaches fail to simultaneously provide
customized control of light effects and preserve content integrity. This makes
them less effective for practical lighting stylization requirements, especially
in the chall... read more
Current OCR systems are based on deep learning models trained on large
amounts of data. Although they have shown some ability to generalize to unseen
data, especially in detection tasks, they can struggle with recognizing
low-quality data. This is ... read more
BACKGROUND AND AIMS: Diet may influence the disease course in inflammatory bowel disease, but its role in postoperative outcomes for Crohn's disease (CD) remains unclear. This study aimed to assess the association of macro- and micronutrient intake w... read more
This study tackles the challenge of image recognition for datasets with high inter-class similarity, using 18 native Platycerium species as a case study. Due to their substantial visual similarities, initial training with ResNet50 yielded a baseline ... read more
Journal of the National Cancer Institute
Aug 20, 2025
BACKGROUND: Survivors of childhood cancer face excess risk of developing basal cell carcinoma (BCC). Age-specific BCC risk prediction models for survivors may support targeted screening recommendations. read more
Small (Weinheim an der Bergstrasse, Germany)
Aug 20, 2025
Chronic and complex wounds pose a major clinical challenge due to the intricate skin architecture and the multifactorial nature of healing. Conventional wound care often fails to restore native skin function and structure. Advances in 3D and 4D biopr... read more
Humans regularly navigate an overwhelming amount of information via text
media, whether reading articles, browsing social media, or interacting with
chatbots. Confusion naturally arises when new information conflicts with or
exceeds a reader's comp... read more
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ... read more
Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early ident... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.