Transplantation

Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.

Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death (PCD) serves a key role in tumor progression and therapy response. However, the prognostic potential of PCD-related genes (CRGs) in BRCA remains to be fully elucidated. Therefore, the present study integrated transcriptomic data from The Cancer Genome Atlas, Molecular Taxonomy of Breast Cancer Inter...

Network toxicology and single-cell transcriptomics nominate candidate pyrethroid-associated targets and pathways in clear cell renal cell carcinoma.

Pyrethroid insecticides are widely used in agricultural and domestic settings. Increasing evidence suggests that pyrethroid exposure may harm multiple organ systems and is associated with potential carcinogenicity. However, the mechanisms linking pyrethroids to clear cell renal cell carcinoma (ccRCC) remain unclear. Using an integrative framework combining network toxicology, single-cell sequencin...

Multiomics and deep learning dissect regulatory syntax in human development.

Transcription factors establish cell identity during development by binding regulatory DNA in a sequence-specific manner, often promoting local chroma...

Segment anything small for ultrasound: Enhancing segmentation with non-generative augmentation.

Accurate segmentation of anatomical structures in ultrasound (US) images, particularly small ones, is challenging due to noise and variability in imag...

Beyond Weight: Systems Biology and Precision Medicine Redefine Obesity as a Multidimensional Disease.

BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obesity. Systems biology offers a new framework by in...

Segmenting multi-modal abdominal multi-organ using the CADSTransN-Net model.

Deep learning advances medical imaging segmentation, but the insufficient diversity of datasets limits its performance. The AMOS22 dataset addresses t...

NQO1-Mediated Anoikis Resistance and Immune Evasion Define a High-Risk Multi-Omic Subtype for Precision Management of T1 High-Grade Bladder Cancer.

T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder cancer (NMIBC) with frequent Bacillus Calmette-Guér...

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (ICU), and early risk stratification remains challen...

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lung cancer. Its considerable tumor heterogeneity and...

Three decades of hemodynamic monitoring (1995-2025): from invasive pressure based hemodynamic profiling to functional physiology.

PURPOSE OF REVIEW: Hemodynamic monitoring has undergone a profound transformation over the last 30 years. The field has transitioned from the "standar...

Organ-Aware Cross-Modality Registration Enables Attenuation Correction Without Repeated CT in Multi-Scan Total-Body PET/CT Imaging.

Multi-Scan Total-Body PET/CT imaging, including dual-time-point and multi-tracer protocols, provides valuable metabolic information for enhanced disea...

Head-and-Neck Organs Segmentation in CT Based on Spatial Prior and Shape Description.

Accurate delineation of organs at risk (OARs) is critical for effective radiotherapy in head and neck cancer, and different deep learning methods have...

Machine learning-driven prognostication in liver transplantation: A tacrolimus intrapatient variability enhanced predictive model.

BACKGROUND: Accurately predicting long-term survival after liver transplantation (LT) remains a major clinical challenge. Tacrolimus intrapatient vari...

High-resolution LA-ICP-MS imaging combined with attention-enhanced residual network reveal cadmium-induced metal distribution heterogeneity and toxicity in Mytilus galloprovincialis.

Marine bivalves often face heavy metal stress, yet we still lack of high-resolution way to observe the metal pollution status in soft tissue. This stu...

LILRB3 inhibition reverses immunosuppression in glioma: a nanoparticle-based therapeutic strategy.

Glioma is a highly aggressive brain tumor characterized by a profoundly immunosuppressive tumor microenvironment dominated by M2-polarized tumor-assoc...

Dynamic trajectories of organ dysfunction in sepsis using the SOFA-2 score and early prediction from multicenter cohorts.

OBJECTIVES: The Sequential Organ Failure Assessment-2 (SOFA-2) score reflects contemporary intensive care practices, yet its longitudinal application ...

Machine learning-based risk stratification of early graft failure in simultaneous pancreas-kidney transplantation.

Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes.

Aging is a complex, multifactorial process, influencing disease risk and overall health. While chronological age (CA) is widely used in clinical pract...

A deep learning approach to assess transendothelial cell trafficking performance.

Transendothelial migration (TEM), is a complex, multistep process impacted by diseases like autoimmune disorders and cancer. Deciphering aspects of th...

Intestinal microbiome and acute transplanted kidney rejection - results of a single-center, case-control study.