Latest AI and machine learning research in heart transplantation for healthcare professionals.
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL) with confined CNS growth. We evaluated tumor microenvironment (TME) features associated with its unique tropism. Comparative spatial transcriptomic profiling of PCNSL samples (n=17) revealed increased macrophage infiltration compared to systemic DLBCL (n=76). These macrophages showed enrichment of...
Background: Traditional heart transplant registries often lack the granularity required for deep phenotyping and rely on labor-intensive manual abstraction. We describe the methodology and validation of a next-generation, automated, multi-source registry designed to address these limitations. Methods: Utilizing a High-Performance Computing environment, we integrated structured data from Epic data ...
Accurate estimation of tacrolimus exposure, quantified by the area under the concentration-time curve (AUC), is essential for precision dosing after r...
Respiratory rate (RR) is a key vital sign for clinical assessment and mental well-being, yet it is rarely monitored in everyday life due to the lack o...
Precise localization with respect to a set of objects of interest enables mobile robots to perform various tasks. With the rise of edge devices capabl...
Cardiovascular diseases (CVD) are the leading cause of death worldwide, with coronary artery disease (CAD) comprising the largest subcategory of CVDs....
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index and pharmacokinetic variability are associated wit...
The growth of generative AI and easily available Open Access health datasets has transformed researcher productivity, leading to an explosion in publi...
Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ultimately lead to kidney failure. To quantitatively...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). Peripheral blood lymphocyte subpopulations (PBLSs)...
The utilization of cellulose derivatives offers an eco-friendly alternative to petroleum-based polymers, necessitating research into effective water p...
Recently, Multimodal Large Language Models (MLLMs) excel at visual grounding in single-image scenarios with textual references. However, their perfo...
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging-related pathologies. Accumulation of senescent ce...
BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for diagnosing antibody-mediated rejection in kidney t...
Resource recovery from textile wastewater has attracted increasing interest because it simultaneously addresses wastewater treatment and maximizes the...
Federated Prompt Learning has emerged as a communication-efficient and privacy-preserving paradigm for adapting large vision-language models like CL...
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) presents a significant challenge, with recurrence rates ranging from 8% to ...
Real-time adaptive control of nonlinear systems with unknown dynamics and time-varying disturbances demands precise modeling and robust parameter ad...
As textual reasoning with large language models (LLMs) has advanced significantly, there has been growing interest in enhancing the multimodal reaso...
Open-set domain generalization(OSDG) for hyperspectral image classification presents significant challenges due to the presence of unknown classes i...