Latest AI and machine learning research in transplantation for healthcare professionals.
Training large language models (LLMs) poses challenges due to their massive scale and heterogeneou...
Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing...
This research presents an enhanced predictive model for green sand casting, designed to tackle the n...
Epilepsy refers to the occurrence of two or more than two reiterative seizures. The occurrence of se...
Microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is a crucial histopathologic prognost...
Fast virtual stenting (FVS) is a promising preoperative planning aid for thoracic endovascular aorti...
BACKGROUND: Waitlist mortality remains a critical issue for pediatric heart transplant (HTx) candida...
INTRODUCTION: Sarcopenia, or the loss of muscle quality and quantity, has been associated with poor ...
PURPOSE OF REVIEW: The objective of this review is to provide an update on the application of artifi...
In this study, we propose a conceptual framework of decision support tools, built upon machine learn...
The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problem...
Advances in microrobotics and synthetic biology are paving the way for innovative solutions to long-...
Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses ...
Intracerebral hemorrhage (ICH) is the most serious form of stroke and has limited available therapeu...
Artificial intelligence (AI) combined with human intelligent, and machine learning (ML) are transfor...
Anoikis resistance plays a crucial role in the proliferation, metastasis, and invasion of hepatocell...
Colon adenocarcinoma (COAD) is one of the most prevalent malignancies worldwide and its prognosis is...
Pathologists comprehensive evaluation of donor liver biopsies provides crucial information for acc...
Can your humanoid walk up and hand you a full cup of beer, without spilling a drop? While humanoid...
Many identity systems assign a single, static identifier to an individual for life, reused across ...
Diffusion models often exhibit inconsistent sample quality due to stochastic variations inherent i...