Latest AI and machine learning research in transplantation for healthcare professionals.
The identification of small molecule modulators of immune checkpoint proteins remains a significant challenge in drug discovery due to the flat, featureless nature of protein-protein interaction interfaces and the characteristically low hit rates observed in conventional high-throughput screening campaigns. Here we report OracleScreen-LILRB4, an ensemble machine learning framework trained on quant...
Transcriptomic studies of liver preservation and ischemia-reperfusion injury (IRI) often report large gene lists that are difficult to translate into deployable diagnostic tools. Genome-wide profiling remains impractical within organ procurement timelines, where decisions must be made rapidly and assay infrastructure is limited. A compact, interpretable gene panel deployable via targeted platforms...
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...
Artificial intelligence (AI) is becoming a central enabling technology for multidirectional cell therapy, regenerative medicine, and transplantation s...
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 ...
Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...
Covering: up to 2026Assembly-line polyketide synthases (PKSs) are among the most sophisticated catalysts in nature, responsible for the biosynthesis o...
Multidrug resistance (MDR) remains the core clinical barrier limiting the achievement of durable and effective treatment for various tumors. With the ...
BACKGROUND: Disulfidptosis is a novel form of glucose starvation-induced cell death, yet its prognostic implications in gastric cancer (GC) remain lar...
Dry eye disease is a common multifactorial condition that significantly impairs patients' quality of life. In clinical practice, conventional diagnost...
Fabric reinforced cementitious matrix (FRCM) composites are progressively applied to strengthen reinforced concrete (RC) members because they offer im...
High-throughput genome and exome sequencing have uncovered numerous intronic variants in disease genes, yet predicting their impact on pre-mRNA splici...
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney transplantation. Both induction and maintenance ther...
OBJECTIVE: Glioblastoma (GBM) is the most aggressive type of intracranial malignant tumor, known for its extremely poor prognosis. Lactylation, a newl...
Two-dimensional (2D) materials offer promising platforms for water purification, particularly for challenging oil-in-water emulsions. Here, a hybrid m...