Hematology

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

Artificial Intelligence-Enhanced Risk Stratification in Non-ST-Segment Elevation Myocardial Infarction: The Incremental Prognostic Value of the Modified Glasgow Prognostic Score in Predicting 36-Month Mortality.

OBJECTIVE: Current clinical guidelines for non-ST-segment elevation myocardial infarction (NSTEMI) emphasize the duration of dual antiplatelet therapy (DAPT) based on scores such as the Predicting Bleeding Complications in Patients Undergoing Stent Implantation and Subsequent Dual Antiplatelet Therapy (PRECISE-DAPT) score and the Dual Antiplatelet Therapy (DAPT) score. However, these anatomical an...

Breaking the Autophagy-Oxidative Stress Vicious Cycle in Alzheimer's Disease: Lactiflorin Unlocks P62 Dual Phosphorylation via ULK1 Targeting.

ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of medicinal use in traditional Chinese medicine. Classi...

Novel RT‒qPCR-based blood signatures for the diagnosis of pulmonary tuberculosis.

Whole-blood gene expression has the potential to become an affordable alternative for the diagnosis of pulmonary tuberculosis (TB). Through an immune-...

Enhancing short-term predictions of mortality risk for liver transplant candidates through random survival forests.

MELD-based scores do not fully account for systemic and metabolic risk in liver transplant candidates, with notable gaps for those with metabolic dysf...

Prognostic Value of Admission D-dimer Levels and Total Bleeding Volume in Aneurysmal Subarachnoid Hemorrhage: A Retrospective Cohort Study with Machine Learning-Based Modeling.

BACKGROUND: Plasma D-dimer levels are independently associated with poor prognosis following aneurysmal subarachnoid hemorrhage (aSAH). However, the u...

ToxCompl Completion of the DrugMatrix Toxicogenomics Database: An Integrated Resource for Toxicological Hypothesis Generation.

The DrugMatrix database contains systematically generated toxicogenomics data from short-term in vivo studies for over 600 chemicals. However, most po...

Machine Learning and Molecular Modeling Reveal HDAC6 as a Key Target of Tanshinone IIA in Multiple Myeloma.

Multiple myeloma (MM) is a malignant blood cancer marked by severe bone destruction and immune microenvironment disruption. Yet relapse and drug resis...

Development of a Machine Learning Algorithm for Differential Diagnosis Between Primary Immune Thrombocytopenia and Connective Tissue Disease-Related Thrombocytopenia in Pediatric Patients.

BACKGROUND: To develop a machine learning model for early differentiation of primary immune thrombocytopenia (pITP) from connective tissue disease-rel...

Deep learning for blood glucose prediction: Reproducibility challenges and factors affecting differential performance.

Blood glucose prediction is a critical component of next-generation diabetes technologies, such as artificial pancreas systems, where reliable perform...

User Engagement and Feature Preferences in an AI-Powered mHealth Intervention for Diabetes Prevention: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions remain underused. AI-driven mobile health (mHealth) t...

A formal Bayesian decisional framework for automated cell subset assignment in multiparametric flow cytometry: The LBC-flow approach.

Multiparametric flow cytometry (MFC) data analyses still largely rely on expert-dependent subjective manual gating strategies. While unsupervised clus...

The Ferroptosis-Immunity Axis in Diabetic Kidney Disease: Emerging Therapeutic Targets.

SIGNIFICANCE: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease worldwide. Its burden continues to increase despite advances...

Association Between the Dietary Inflammatory Index and Cardiorenal Anemia Syndrome: Evidence From NHANES and Related-Phenotype Exploration in KNHANES.

Cardiorenal anemia syndrome (CRAS) links heart failure, chronic kidney disease, and anemia, but the role of diet-related inflammation remains unclear....

Combined predictive value of TyG index and PLR for mental health in Chinese adults: A machine learning approach.

OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG) index and platelet-to-lymphocyte ratio (PLR) wit...

Generative Artificial Intelligence in Peripheral Blood Morphology: Synthetic Image Creation and Digital Stain Normalization.

The morphological analysis of peripheral blood cells is increasingly adopting deep learning, mainly for the automatic recognition of the variety of no...

CAR-T cell therapy in advanced practice nursing management. A Statistical and Large Language Model approach to highlight critical issues.

AimTo gather nurses' perceptions nursing hematologic management on patients undergoing CAR-T cell therapy. A combined approach using statistical analy...

The role and mechanism of diosgenin glucoside in modulating megakaryopoiesis through promotion of autophagy via the AMPK/mTOR/ULK1 signaling pathway.

BACKGROUND: Radiation-induced thrombocytopenia (RIT) is a severe, dose-limiting complication of cancer radiotherapy with limited clinical management o...

Research progress in traditional Chinese medicine for lymphoma: multi-pathway and multi-drug combination approaches.

OBJECTIVES: Lymphoma is a prevalent hematologic malignancy with complex pathogenesis involving dysregulated signaling pathways and high treatment resi...

Integrative Multi-Omics Analysis Identifies Thrombosis-Associated Molecular Features Linked to Germline Susceptibility and Immune Cell Communication in Gastric Cancer.

Emerging evidence indicates that coagulation-related molecular programs are associated with thrombosis, tumor progression, and molecular dysregulation...