Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population level but are often inaccurate at the individual level. Detecting preclinical atherosclerotic plaques in the carotid and common femoral arterial bifurcati... read more
Chemistry (Weinheim an der Bergstrasse, Germany)
Jul 25, 2025
Site-specific modification of protein termini, particularly the N-terminus, has emerged as a cornerstone of chemical biology and biotechnology, facilitating the engineering of therapeutic proteins and functional biomaterials. The N-terminus, with its... read more
Context modeling is essential in learned image compression for accurately
estimating the distribution of latents. While recent advanced methods have
expanded context modeling capacity, they still struggle to efficiently exploit
long-range dependenc... read more
Mammography is the most commonly used imaging modality for breast cancer
screening, driving an increasing demand for deep-learning techniques to support
large-scale analysis. However, the development of accurate and robust methods
is often limited ... read more
Early detection of non-small cell lung cancer (NSCLC) is critical for
improving patient outcomes, and novel approaches are needed to facilitate early
diagnosis. In this study, we explore the use of automatic cough analysis as a
pre-screening tool f... read more
Mixed modality search -- retrieving information across a heterogeneous corpus
composed of images, texts, and multimodal documents -- is an important yet
underexplored real-world application. In this work, we investigate how
contrastive vision-langu... read more
Journal of cardiovascular electrophysiology
Jul 25, 2025
BACKGROUND: Screening of asymptomatic/occult atrial fibrillation (AF) remains challenging. This study aimed to use a deep learning model to predict hidden AF in patients who showed normal sinus rhythm (SR) during 24-h Holter monitoring. read more
Computers and computer networks have become integral to virtually every
aspect of modern life, with the Internet playing an indispensable role.
Organizations, businesses, and individuals now store vast amounts of
proprietary, confidential, and pers... read more
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