Latest AI and machine learning research in transplantation for healthcare professionals.
Mucosal melanoma (MM) is a rare and lethal subtype of melanoma, disproportionately affecting Asian populations and exhibiting distinct clinicopathological and genetic features compared to cutaneous melanoma (CM). Often diagnosed at advanced stages, MM shows poor responses to conventional therapies, and no standardized treatment regimen currently exists. Progress in preclinical modeling, including ...
BACKGROUND: The lens of the eye is highly radiosensitive, yet personalized shielding during head CT remains challenging due to the lack of a rapid, pre-scan localization method. PURPOSE: To develop and validate a deep learning solution that enables automated, patient-specific eye protection by generating a precise 3D eyeball model directly from a single-view topogram. METHODS: Our two-stage approa...
BACKGROUND: Patient-specific quality assurance (PSQA) plays a pivotal role in intensity-modulated radiotherapy (IMRT) to ensure accurate dose delivery...
OBJECTIVE: Preeclampsia, the most severe hypertensive disorder of pregnancy, is the leading cause of maternal death. While genetic factors are recogni...
The increasing global burden of cancer necessitates innovative therapeutic strategies. Cell therapy represents a major breakthrough in oncology, evolv...
Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically plastic sentinels that shape the tumor microenvironm...
BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related mortality. Although hepatic resection is the only e...
BACKGROUND: Prognostic assessment in patients with severe pneumonia requiring veno-venous extracorporeal membrane oxygenation (V-V ECMO) has tradition...
Tooth autotransplantation requires recipient socket preparation that matches donor root morphology while preserving surrounding bone. We developed an ...
Craniomaxillofacial deformities are primarily caused by congenital anomalies, trauma, or postoperative defects following tumor resection, involving bo...
OBJECTIVE: Primary Sjogren's syndrome(pSS) exhibits significant clinical heterogeneity, which poses challenges for accurately assessing disease activi...
The rapid growth of artificial intelligence computing has intensified the demand for energyefficient hardware accelerators capable of large-scale matr...
The identification of small molecule modulators of immune checkpoint proteins remains a significant challenge in drug discovery due to the flat, featu...
Transcriptomic studies of liver preservation and ischemia-reperfusion injury (IRI) often report large gene lists that are difficult to translate into ...
BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug r...
OBJECTIVES: This study aimed to use machine learning to explore Behçet's syndrome (BS) heterogeneity by integrating immunocyte subpopulations and clin...
Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality resulting in characteristic changes in cardiac st...
CBUs have been applied as alternative source of HSCs transplantation. The increasing preference for haploidentical HSC transplantation has resulted in...
BACKGROUND: Prolonged postoperative intensive care unit (ICU) length of stay (LOS) after coronary artery bypass grafting (CABG) drives resource use ye...
PURPOSE: To develop a dual-contrast deep-learning model for automated muscle segmentation on spin-echo and Dixon magnetic resonance imaging (MRI) for ...