Latest AI and machine learning research in transplantation for healthcare professionals.
Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, visual function, and corneal graft survival. Accurate characterization, longitudinal monitoring, and assessment of treatment response require reliable and reproducible documentation. Numerous imaging modalities have been investigated for this purpose. R...
The gut microbiota (GM) has emerged as a key modulator of cancer development and therapeutic response beyond the gastrointestinal tract. In extra-intestinal cancers, GM composition influences oncogenesis, with specific microbial taxa and their metabolites linked to either increased or decreased cancer risk, as highlighted by Mendelian Randomization studies. Beyond cancer initiation, GM plays a cri...
OBJECTIVE: To improve fairness (reduced disparities across skin tones and sexes) and trust (well-calibrated uncertainty metrics that indicate unreliab...
BACKGROUND AND AIMS: The macronutrient composition of donor human milk (DHM) can vary substantially due to several factors such as maternal age, diet,...
The escalating threat of antibiotic resistance has intensified the search for sustainable antimicrobial alternatives. Quaternized polysaccharides, a c...
Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges worldwide, with Korea providing a unique perspectiv...
Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells breach immune tolerance and drive chronic tissue infl...
The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in DNA replication in cancer cells. The prognostic and...
Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enhance diagnosis, prognosis, and treatment across all...
This study investigates the fresh properties of self-compacting concrete (SCC) developed using recycled concrete aggregates (RCA) as coarse aggregate ...
The performance of machine-learning models in drug discovery is highly dependent on the quality and consistency of the training data. Due to limitatio...
Pathology is undergoing a fundamental change as slide-based diagnostics transition toward digital workflows. Advances in whole slide imaging, data man...
BACKGROUND: Intraoperative hypotension (IOH) is associated with increased postoperative morbidity and mortality. This prospective study evaluated the ...
Within the digital transformation of medicine, transfusion medicine has quietly become a big-data discipline. The long-standing tradition of blood pro...
BACKGROUND: Hepatocellular carcinoma (HCC) is a critical condition characterized by unchecked cellular growth in the liver, often leading to systemic ...
Transfusion medicine generates enormous volumes of data across the vein-to-vein continuum, spanning donor characteristics, laboratory testing, compone...
The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strategies in cancer immunotherapy and chemotherapy. The...
Population-Based Training (PBT) has the drawback of using fixed, pre-programmed mutation and selection rules to optimize hyperparameters, which are no...
The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC) are primary drivers of therapeutic resistance an...
BACKGROUND: Artificial intelligence (AI) increasingly supports medical diagnosis, interventions, and clinical decision-making. In various domains of h...