Latest AI and machine learning research in kidney transplantation for healthcare professionals.
Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...
Automating aircraft manufacturing still relies heavily on human labor due to the complexity of the...
Recent advances in multimodal Reward Models (RMs) have shown significant promise in delivering rew...
Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...
Many soft robots struggle to produce dynamic motions with fast, large displacements. We develop a ...
Multi-modal large language models (MLLMs) have made significant progress, yet their safety alignme...
Reliable localization is critical for robot navigation in complex indoor environments. In this pap...
Recent advances in general medical AI have made significant strides, but existing models often lac...
Recent advancements in software engineering agents have demonstrated promising capabilities in aut...
Recent advances in deep thinking models have demonstrated remarkable reasoning capabilities on mat...
The question of how to make decisions that maximise the well-being of all persons is very relevant...
Socio-psychological studies have identified a common phenomenon where an individual's public actio...
We introduce Low-Shot Open-Set Domain Generalization (LSOSDG), a novel paradigm unifying low-shot ...
This paper investigates the prospects of AI without representation in general, and the proposals o...
This paper considers open-set recognition (OSR) of plankton images. Plankton include a diverse ran...
Privacy-preserving medical decision support for kidney disease requires localized deployment of la...
BACKGROUND: Chronic rejection forms the leading cause of late graft loss in pediatric kidney transpl...
Large Language Models (LLMs) excel in language comprehension and generation but are prone to hallu...
Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radi...
Traditional evaluations of multimodal large language models (LLMs) have been limited by their focu...