Latest AI and machine learning research in transplantation for healthcare professionals.
Background: Traditional heart transplant registries often lack the granularity required for deep phe...
Background The burden of new HIV infections and HIV-related deaths have declined dramatically in sub...
Single-cell expression quantitative trait loci (eQTL) studies hold promise for linking genetic varia...
Pelvic diseases in women of reproductive age represent a major global health burden, with diagnosis ...
A limitation of social contingency research with infants is that scientists can only instruct the ca...
Digitizing large histopathology archives requires processing millions of scanned whole slide images ...
Background: Prognostic assessment in critically ill patients with cancer remains challenging, as con...
Medical audio classification remains challenging due to low signal-to-noise ratios, subtle discrimin...
Accurate estimation of tacrolimus exposure, quantified by the area under the concentration-time curv...
Respiratory rate (RR) is a key vital sign for clinical assessment and mental well-being, yet it is r...
Multi-organ segmentation is a widely applied clinical routine and automated organ segmentation tools...
Recently, data-centric AI methodology has been a dominant paradigm in single-cell transcriptomics an...
World models have demonstrated significant promise for data synthesis in autonomous driving. However...
Precise localization with respect to a set of objects of interest enables mobile robots to perform v...
Longitudinal biomedical datasets, particularly high-resolution microbiome profiles, present unique a...
Three-dimensional (3D) reconstruction of ships is an important part of maritime monitoring, allowing...
Speculative decoding (SD) has proven effective for accelerating LLM inference by quickly generating ...
Automated patient positioning plays an important role in optimizing scanning procedure and improving...
Cardiovascular diseases (CVD) are the leading cause of death worldwide, with coronary artery disease...
Large Vision-Language Models (LVLMs) incur high computational costs due to significant redundancy in...
Difficulty replicating baselines, high computational costs, and required domain expertise create per...