Transplantation

Explainable machine learning with routine biomarkers identifies culture-defined bacteremic urosepsis.

Urosepsis is a severe complication of urinary tract infection (UTI) and may lead to organ dysfunction and death. Early identification remains challenging at initial presentation, highlighting the need for improved risk stratification using routinely available data. This single-center retrospective study analyzed clinical data from 182 hospitalized patients with culture-confirmed UTI, including 89 ...

Cell-free chromatin state tracing reveals disease origin and therapy responses.

Cell-free DNA in blood originates from fragmented chromatin released by dying cells from both healthy and diseased tissues1,2. These fragments carry rich molecular modalities that can reveal pathological alterations in tissues of origin3-10. Here we develop cf-EpiTracing, a highly sensitive automated platform that profiles histone modifications in cell-free DNA from as little as 50 μl of human pla...

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in cardiovascular disease (CVD) is hindered by a vast an...

GSDME-mediated pyroptosis modulates the immunosuppressive microenvironment in lung adenocarcinoma.

Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise impact on tumor prognosis and the immune microenviron...

Integrative multi-omics analysis reveals metabolic dysfunction signatures as critical determinants of prostate cancer prognosis and immunosuppressive microenvironments.

BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by which specific metabolic pathways drive prostate cance...

Development and explainable AI-driven characterization of a prognostic model for haploidentical transplantation outcomes.

We developed a novel, explainable artificial intelligence (AI)-driven prognostic model using a contemporary single-centre cohort of 668 patients under...

Multi-omics profiling reveals cholic acid-mediated immunosuppression driven by peritumoral ductular reactions in hepatocellular carcinoma.

Hepatocellular carcinoma remains a leading cause of cancer mortality worldwide, with peritumoral microenvironment interactions playing a critical role...

Application of a Natural Language Processing Framework for Data Extraction From Pathology Reports Across Multiple Cancer Types.

BACKGROUND: Pathological reports provide comprehensive insights into the clinical and pathological features of different cancer types. However, extrac...

Distinct Tumor-Immune Ecologies in Patients with Lung Cancer Predict Progression and Define a Clinical Biomarker of Therapy Response.

UNLABELLED: Multiplexed imaging of tissues is an approach that holds promise for improving early detection, diagnosis, and treatment of cancer. In thi...

A Native Strategy for Integrating Deep-Learning Models for Segmentation into a Radiological Viewer.

The use of deep-learning (DL) models to support and automate medical imaging diagnostic procedures has become an ongoing focus of research and develop...

Evaluation of the Effectiveness of an AI-assisted, Dual-Template Workflow in Improving the Accuracy of Tooth Autotransplantation.

OBJECTIVE: To test whether an AI-assisted, dual-template workflow improves plan-delivery accuracy in tooth autotransplantation versus a replica-only f...

Quantitative CT and Artificial Intelligence in Chronic Lung Disease.

Computed tomography (CT) is routinely used in diagnosing and managing patients with chronic lung diseases such as chronic obstructive pulmonary diseas...

Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses.

Purpose To model the distribution of CT-derived whole-body anatomic volumes across adulthood and establish comprehensive cross-sectional and longitudi...

Cancer-associated fibroblasts are associated with CD8+ T cell depletion and poor prognosis in colorectal adenocarcinoma: a multi-omics and machine learning analysis.

Fibroblastic proliferation in various tumor microenvironments influences cancer survival through complex interactions with diverse immune responses. T...

Polyanion-stabilized amorphous halide electrolytes with low lithium content for all-solid-state lithium batteries.

Lithium halide solid electrolytes have garnered significant attention owing to their high ionic conductivity and positive electrode compatibility. How...

Integrated Single-Cell and Bulk Transcriptome Analysis Reveals the Prognostic Significance and Immune Regulatory Mechanisms of Sialylation in Hepatocellular Carcinoma.

Liver Hepatocellular Carcinoma (LIHC) is a high-mortality primary liver cancer. Its treatment and prognosis are highly dependent on disease stage and ...

Helping people navigate and make sense of cancer information: challenges and perspectives.

People living with cancer, and their caregivers and families, have access to many sources of health information. This brings both positives and challe...

IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning.

Edge-cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-deman...

UHRF2 related to sumoylation : assessment of its role in immune suppression and therapeutic potential in colorectal cancer.

SUMOylation is a critical post-translational modification of proteins. However, the roles of SUMOylation-related genes in regulating the tumor immune ...

Materiobiology-guided regulation of mesenchymal stromal cell fate for aging-related diseases: From basic parameter design to clinical application.

Mesenchymal stromal cells (MSCs) possess potent immunomodulatory, pro-angiogenic, and regenerative capacities, offering broad clinical promise in rege...