Hematology

AI-Assisted Literature Mining Reveals Spatiotemporal Heterogeneity and Progression Trajectories of Traditional Chinese Medicine Syndromes in Coronary Heart Disease in China.

Despite the centrality of syndrome differentiation in guiding personalized traditional Chinese medicine (TCM) interventions for coronary heart disease (CHD), existing studies of TCM syndrome distribution are constrained by fragmented methodologies and limited spatiotemporal resolution. In this study, we employed an artificial intelligence (AI)-assisted literature mining framework combined with sta...

Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.

Despite advances in lipid-lowering and anti-inflammatory medications, atherosclerotic cardiovascular disease (ASCVD) continues to be the leading cause of morbidity and mortality worldwide. Recent studies have identified the gut microbiota as a key modulator of cardiovascular health via the gut-heart axis. This review investigates the molecular processes by which microbial metabolites affect athero...

scVAEAT: An Integrative Attention-Augmented Variational Autoencoder for Predicting Single-Cell Perturbation Responses.

Understanding how individual cells respond to genetic or environmental perturbations is crucial for deciphering disease mechanisms and advancing preci...

A predictive tool incorporating frailty scores for perioperative risk assessment in patients with spinal metastasis: a national retrospective cohort study.

BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due to tumor burden, neurologic compromise, and limite...

From Gram Stain to Decision Support: Performance of Multimodal Large Language Models in Blood Culture Microscopy.

Multimodal large language models (LLMs) offer significant potential for image-based diagnostics, yet their reliability in routine clinical microbiolog...

A multicenter study on the prediction model for chronic low back pain after lumbar decompression surgery in patients with diabetes mellitus: integration of metabolic and paraspinal muscle features.

OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive model for chronic low back pain (CLBP) after lumb...

Precision Transfusion Medicine in the Omics Era.

Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...

Plasma metabolomics profile alterations in the onset and progression of paediatric immune thrombocytopenia.

Immune thrombocytopenia (ITP) is an autoimmune disorder, characterized by immune-mediated platelet destruction and decreased platelet production. To i...

Multimodal artificial intelligence for predicting postoperative cesarean scar diverticulum risk.

OBJECTIVES: To develop an artificial intelligence (AI) model to predict cesarean scar diverticulum (CSD) risk following cesarean scar pregnancy (CSP) ...

A Novel Dosing Strategy for Tacrolimus in Lung Transplant Recipients: Integrating Machine Learning with Population Pharmacokinetic Analysis.

BACKGROUND: Integrating machine learning (ML) with population pharmacokinetic (PPK) modeling may improve therapeutic drug monitoring predictions. METH...

Machine learning prediction of increased healthcare utilization in colectomy for inflammatory bowel disease.

PURPOSE: Healthcare spending for patients with inflammatory bowel disease (IBD) has steadily increased over the past few decades. While some of the in...

Electro-osmotic metachronal cilia transport of viscoelastic blood infused with penta-hybrid nanoparticles in an oviduct: Analytical and neural network modeling.

An analytical and computational model is developed for the electro-osmotic peristaltic transport of pentahybrid nanoparticle-infused Phan-Thien-Tanner...

Immunoglobulin Heavy Constant Mu as a Shared Gene in Periodontitis and Rheumatoid Arthritis: A Bioinformatic Analysis.

INTRODUCTION AND AIMS: Rheumatoid arthritis (RA) and periodontitis (PD) are two inflammatory diseases sharing immunopathogenic features and a common i...

Heat transfer analysis of non-Newtonian hybrid nanofluid flow over a stretching surface using an artificial neural network.

The present study investigates the role of Gold-Fe2O3-Fe3O4 nanoparticles mixed in blood with magnetohydrodynamics Casson fluid flow through a porous ...

Intensity-modulated radiotherapy alone versus concurrent chemoradiotherapy ± induction chemotherapy in older patients with low-risk stage II or T3N0M0 nasopharyngeal carcinoma.

BACKGROUND: The optimal treatment strategy for older patients with low-risk stage II or T3N0M0 nasopharyngeal carcinoma (NPC) remains undefined. This ...

Association between glucose-to-platelet ratio and all-cause mortality in critically ill patients with acute myocardial infarction: a retrospective cohort study.

BACKGROUND: Acute myocardial infarction (AMI) in critically ill patients is associated with high mortality. The glucose-to-platelet ratio (GPR), deriv...

Inflammatory marker-driven deep learning model for postoperative gastric cancer prognosis.

BACKGROUND: Prognostic prediction following gastric cancer surgery plays a pivotal role in postoperative management, helping to optimize therapeutic s...

Enhancing decision-making in surgery for a large temporocorneal meningioma through an explainable human-AI collaboration: a case report.

BACKGROUND: Meningiomas, particularly large temporocorneal meningiomas, pose significant surgical challenges due to their proximity to critical brain ...

Identification and validation of novel diagnostic biomarkers across multiple tissues in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease characterized by synovial inflammation, cartilage degradation, and subchondral bone re...

ESD-VesNet: uncertainty-aware vessel segmentation network for endoscopic submucosal dissection with hard negative mining.

PURPOSE: Preventing intraoperative bleeding in endoscopic submucosal dissection (ESD) relies on the timely identification and pre-coagulation of submu...