Latest AI and machine learning research in transplantation for healthcare professionals.
We propose a sparse-selective quantization framework for real-time cyber threat detection in large-scale networks, which tackles the dual challenges of computational efficiency and detection accuracy. The proposed method unites sparsity-aware feature selection and dynamic precision quantization, which permits high-dimensional network traffic data to be analyzed in real time without losing critical...
Inferring conditional dependency structures from high-dimensional data with small sample sizes remains a fundamental challenge in systems biology, particularly when dependencies span multiple biological compartments. We present QFL, a multilayer network framework that integrates multiple sparse Gaussian graphical models (GGMs) via information-theoretic fusion, and apply it to a controlled multi-or...
PURPOSE: Colorectal liver metastases (CRLM) are a leading cause of mortality in patients with colorectal cancer. While surgical resection is the stand...
BACKGROUND: Over the last decade, the use of machine learning (ML) techniques in problem modeling and solving has increased significantly, including i...
OBJECTIVES: To quantify long-term (≥ 5 years) implant survival after lateral sinus floor elevation (LSFE) and to identify clinical predictors of long-...
The present study aims to identify key genes and elucidate the molecular mechanisms underlying osteonecrosis of the femoral head (ONFH), with the goal...
Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, vis...
The gut microbiota (GM) has emerged as a key modulator of cancer development and therapeutic response beyond the gastrointestinal tract. In extra-inte...
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 ...