Transplantation

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in volume and intrinsic tissue characteristics in an obese patient population undergoing metabolic surgery. MATERIALS AND METHODS: Multiorgan segmentation and intrinsic Hounsfield Unit (HU) analyses were performed in 1877 preoperative/postoperative computed tomography (CT) examinations, processing nine ...

Idiopathic pulmonary fibrosis from a multiscale mechanobiology perspective: Mechanisms and future therapeutic prospects.

Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease that induces irreversible fibrosis and architectural remodeling. Traditional inflammation-based theories fall short in explaining its pathological processes, regional heterogeneity, and spatially biased lesion distribution. Recent studies have highlighted the critical role of biomechanical microenvironment, ranging from the m...

Integrative transcriptomic and machine learning analysis identifies core immune genes and pathways driving graft-versus-host disease after allogeneic hematopoietic stem cell transplantation.

BACKGROUND: Graft-versus-host disease (GVHD), a major adverse event following allogeneic hematopoietic stem cell transplantation (allo-HSCT), commonly...

Machine learning-based prediction of high hospital charges after lung transplantation in chronic obstructive pulmonary disease patients.

Non-polio enterovirus infection and electrophysiological changes in human iPSC-derived neural networks.

BACKGROUND: The non-polio enteroviruses (NPEV) enterovirus D68 (EV-D68) and enterovirus A71 (EV-A71) are highly prevalent and considered pathogens of ...

Exploring the mechanism of polymorphonuclear neutrophils against sepsis based on immune model.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and remains a major global health chall...

Integrated reiterative pipeline for rapid epitope-based pan-alphavirus vaccines.

The vast diversity of the virosphere underscores the need for rapid, adaptable vaccine development infrastructures. Arthropod-borne zoonotic alphaviru...

LightIN: a versatile silicon-integrated photonic field programmable gate array with an intelligent configuration framework for next-generation AI clusters.

Artificial Intelligence models pose serious challenges to intensive computing and high-bandwidth communication for conventional electronic circuit-bas...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. The immunosuppressive tumor microenvironment (TME)...

The role of artificial intelligence in paediatric abdominal imaging.

Artificial intelligence (AI) is increasingly shaping radiology, though its integration into paediatric radiology has progressed more slowly due to cha...

Correction: A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study.

[This corrects the article DOI: 10.2196/55046.].

A metabolic-immune subtype of breast cancer defined by G6PD and SHMT2: From single‑cell dissection to dual-targeted therapy.

Breast cancer heterogeneity limits the precision of current prognostic and therapeutic strategies, underscoring the need for molecular frameworks that...

A machine learning-based model to predict multi-time-point prognosis for acute-on-chronic hepatitis B liver failure.

Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patients with acute-on-chronic hepatitis B liver failure...

Dopamine receptors: Potential therapeutic targets for ischemia-reperfusion injury: A review.

As one of the most extensively studied neurotransmitters in the central nervous system, dopamine exerts its biological effects primarily through its r...

Integrative spatial profiling pipeline for determining TME architectures in archival clinical specimens using CmTSA superplex technology.

The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to form distinct functional niches (FNs). Profiling the...

Research on electromagnetic compatibility analysis of automation equipment based on generative adversarial networks and pulse sparse convolution.

Electromagnetic interference (EMI) analysis in high-speed industrial systems is increasingly challenged by multi-gigahertz sampling rates, complex tra...

A nine-gene diagnostic model for IgA nephropathy based on multi-cohort machine learning: integrating gene expression and immunohistochemical validation.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis, requiring improved diagnostic tools. We analyzed three cohorts (GSE37460, GSE937...

Precision immunotherapies for systemic lupus erythematosus: From pathogenic targets to translational horizons.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder in which aberrant B-cell activation, persistent autoantibody production, and...

HXMS: a standardized file format for HX-MS data.

MOTIVATION: Hydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique used to investigate protein conformational ensemble...

Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC.

Volumetric-modulated arc therapy (VMAT) planning for locally advanced non-small cell lung cancer (NSCLC) is an iterative and planner-dependent process...