Latest AI and machine learning research in transplantation for healthcare professionals.
Sepsis-induced immunosuppression, characterized by lymphopenia, is associated with adverse outcomes. We aimed to identify distinct lymphocyte recovery patterns in patients with sepsis, evaluate their association with mortality, and develop a machine learning model to enhance prediction This retrospective cohort study included adult patients with sepsis and initial lymphopenia (Absolute Lymphocyte ...
MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but their availability is limited by cost and throughput. We present a scalable framework that combines machine learning-based phenotypic imputation with probabilistic GWAS (POP-GWAS) to enable robust genetic discovery for imaging-derived phenotypes (IDPs). Using 37,589 UK Biobank MRI scans and 382 bioma...
Sleep disorders pose a major global health burden and are associated with a wide range of adverse health outcomes. Polysomnography (PSG) is the gold s...
Biological aging remains a central focus of research, from the scale of sub-cellular processes to whole-organism tissue morphology and function. In th...
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney transplantation. Both induction and maintenance ther...
Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-value data for the de novo discovery of disease phen...
Alzheimer’s disease (AD) exhibits profound spatial heterogeneity in its molecular and pathological features, yet the basis of this regional selectivit...
Timely prognosis of type 2 diabetes (T2D) is critical for effective interventions and reducing economic burden. Longitudinal medical records offer pot...
Electronic health records (EHRs) provide a large source of data that can be used for research purposes. Extraction of information from unstructured cl...
Type 1 diabetes (T1D) is strongly influenced by HLA variation, yet current genetic risk models developed largely in European cohorts perform suboptima...
The human MHC transplantation loci (HLA-A, -B, -C, -DPB1, -DQB1, -DRB1) are the most polymorphic in the human genome. It is generally accepted this ...
Alzheimer's disease (AD) is a complex neurodegenerative condition characterized by a multifaceted interplay of genetic, environmental, and pathologica...
INTRODUCTION: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing yet urgent policy and management challenges to add...
Trifluoromethylation stands as a pivotal technology in modern synthetic chemistry, playing an indispensable role in drug design, functional material d...
Keratoconus (KC) is a prevalent ectatic corneal disease and the leading cause of corneal transplantation globally. Despite evidence of mitochondrial a...
BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogeneic hematopoietic stem cell transplantation (allo H...
The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor liver transplantation a successful treatment optio...
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challenges such as graft dysfunction due to factors like ...
Studies show that breast screening participants are open to artificial intelligence (AI) in breast screening, but hold concerns about AI performance, ...
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labeled datasets in real-world scenarios, leading to t...