Latest AI and machine learning research in transplantation for healthcare professionals.
Purpose To model the distribution of CT-derived whole-body anatomic volumes across adulthood and establish comprehensive cross-sectional and longitudinal reference charts, addressing the current lack of nonbrain CT-based whole-body standards. Materials and Methods Retrospective CT scans acquired from March 2017 to April 2025 (189 710 scans, 106 563 patients) from the institutional picture archivin...
Fibroblastic proliferation in various tumor microenvironments influences cancer survival through complex interactions with diverse immune responses. This study investigated the impact of histologically unique activated cancer-associated fibroblasts (aCAFs) on survival outcomes and immune responses and examined their association with various pathophysiological mechanisms. We analyzed a total of 1,0...
Lithium halide solid electrolytes have garnered significant attention owing to their high ionic conductivity and positive electrode compatibility. How...
Liver Hepatocellular Carcinoma (LIHC) is a high-mortality primary liver cancer. Its treatment and prognosis are highly dependent on disease stage and ...
People living with cancer, and their caregivers and families, have access to many sources of health information. This brings both positives and challe...
Edge-cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-deman...
SUMOylation is a critical post-translational modification of proteins. However, the roles of SUMOylation-related genes in regulating the tumor immune ...
Mesenchymal stromal cells (MSCs) possess potent immunomodulatory, pro-angiogenic, and regenerative capacities, offering broad clinical promise in rege...
Reliable estimation of the time since deposition (TSD) of bloodstains remains a key challenge in forensic reconstruction, particularly under realistic...
BACKGROUND: Gel electrophoresis is a cornerstone technique in analytical chemistry and proteomics, yet downstream image analysis remains a bottleneck ...
The accelerating shift in biomedical research toward human-relevant, ethical, and innovative methodologies has propelled the adoption of Non-animal mo...
BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for patients with triple-negative breast cancer (TNBC)....
Aging proceeds heterogeneously across organs, making chronological age an inadequate measure of physiological decline. The concept of organ biological...
OBJECTIVES: The integration of artificial intelligence (AI) technologies into clinical practice holds significant promise for enhancing healthcare del...
BACKGROUND: Kidney transplantation (KT) is the most effective treatment for end-stage renal disease. Hypothermic machine perfusion (HMP) can improve r...
Microfluidic-spun hydrogel fibers are appealing for tissue engineering and cell transplantation applications, as they give access to fiber-shaped tiss...
BACKGROUND: Abdominal donor site complications remain significant concerns in Deep Inferior Epigastric Perforator (DIEP) flap breast reconstruction. I...
Artificial intelligence (AI) is rapidly transforming many areas of medicine. Pediatric nephrology may be a field of particular relevance due to its da...
PURPOSE: Despite Phosphoenolpyruvate carboxykinase 2 (PCK2) has attracted growing attention as a potential biomarker in cancer research, its role in m...
The expansion and potentiation of regulatory T cells (Treg cells) offer an appealing approach for achieving immune tolerance and controlling overactiv...