Hematology

Development and validation of a Bayesian network-based surgical risk-prediction tool for patients with small-bowel stricturing Crohn's disease.

BACKGROUND: Patients with small-bowel stricturing Crohn's disease (sbsCD) usually have a higher risk of intestinal surgical resection. We aimed to develop a machine-learning model for predicting the 1-year surgery risk in these patients. METHODS: This study included 520 retrospectively enrolled patients with sbsCD (training cohort, n = 416; testing cohort, n = 104) from January 2018 to May 2021 an...

Understanding the Experiences of Young People Living With Haemophilia-A UK Social Media Study.

INTRODUCTION: Haemophilia is a rare congenital bleeding disorder that presents significant physical and psychological challenges, especially for young people, with limited real-world evidence about their experiences in the UK. AIM: This study sought to understand the perspectives and challenges of young people living with haemophilia in the UK by analysing social media conversations. METHODS: A re...

Identification of Erectile Dysfunction From Routine Blood Test Data: Development and Validation of a Machine Learning-Based Prediction Model.

BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel marker for cardiovascular disease. Current diagnos...

Identifying candidate therapeutic targets in amyotrophic lateral sclerosis through a transcriptome-wide machine-learning consensus approach for drug repurposing.

Amyotrophic lateral sclerosis (ALS) is a heterogeneous neurodegenerative disease for which effective disease-modifying therapies remain limited. This ...

Clinical Utility of LLM-assisted Chart Review for the Detection of Bleeding Events.

INTRODUCTION: Red blood cell (RBC) transfusions are frequently administered in the intensive care unit (ICU) and are independently associated with inc...

Spatial decoupling of plaque and circulating immune programs defines a robust gene signature in atherosclerosis: A multi-cohort integrative analysis.

Atherosclerosis (AS) is driven by chronic vascular inflammation, yet the relationship between immune activity within atherosclerotic lesions and syste...

Volatomic profiling of blood identifies environmental chemicals associated with metabolic dysfunction-associated steatotic liver disease in lean US adults.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects lean individuals, but the contribution of environmental exposures...

Associations of Iron Indicators with Cognitive Impairment Risk in Postmenopausal Women: Evidence from a Matched Case-Control Study and Back Propagation Neural Network Model.

Iron is essential for normal cognitive function, and women have nearly twice the age-matched prevalence of cognitive impairment compared with men. The...

Construction of an associative model for prolonged intensive care unit stay in sepsis patients combined with myocardial injury.

OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) in intensive care units for sepsis patients combin...

ADRB2 Modulates Asbestos-Induced Pleural Mesothelioma Progression by Influencing IL-17/NF-κB-Related Inflammatory Signalling: An Integrated Network Toxicology, Multi-Omics and Experimental Study.

Pleural mesothelioma (PM) is a highly aggressive asbestos-related malignancy with poor prognosis and limited early diagnostic options. In this study, ...

Using AI to determine optimal cost-effective diagnostic pathways for chronic breathlessness.

Breathlessness is a common symptom in clinical practice, yet evidence for cost-effective strategies to diagnose the underlying health conditions causi...

Evaluating the age of rib fractures through 99mTc-MDP SPECT strategy based on a machine learning algorithm: a preliminary study.

Rib fractures are among the most common injuries in traffic accidents. Accurate evaluation of rib fracture age is important as it assists forensic exp...

Unraveling the molecular Nexus of Alzheimer's Disease and HIV encephalitis: The role of cellular senescence and transcriptional regulation.

Alzheimer's disease (AD) and HIV-associated neurocognitive disorder (HAND) share progressive cognitive decline. Their common molecular mechanisms rema...

Machine learning for thalassemia detection: A critical review of diagnostic pathways and emerging technologies.

Thalassemia is still challenging to diagnose due to heterogeneous genotypes, overlapping hematologic phenotypes (e.g., other anemias), and limited acc...

Stephania cepharantha Hayata (Baiyaozi) attenuates cirrhosis-associated intestinal barrier injury by restoring mitochondrial function and suppressing PI3K/AKT signaling.

ETHNOPHARMACOLOGICAL RELEVANCE: Baiyaozi, the dried tuberous root of Stephania cepharantha Hayata, has long been used in traditional Chinese medicine ...

Explainable machine learning for predicting childhood anemia in Sub-Saharan Africa using population-based DHS Data (2016-2024).

Childhood anemia remains a major public health challenge in Sub-Saharan Africa, adversely affecting physical growth, cognitive development, and child ...

Frailty prediction in heart failure patients with acute infections: the potential role of thiazide diuretics?

BACKGROUND: Frailty remains a significant risk factor for adverse health outcomes in hospitalized patients. Few have evaluated frailty risk and its in...

Optimizing Laboratory Autoverification in Complete Blood Count Testing Using Machine Learning: A Performance Evaluation Study.

BACKGROUND: Autoverification improves laboratory efficiency by reducing manual reviews; however, rule-based systems may lack flexibility, particularly...

Unsupervised Global CBC/RUO/CPD Phenotyping Identifies Haematological Clusters Enriched for Thrombocytopenia Severity and Mechanisms.

INTRODUCTION: Thrombocytopenia has heterogeneous mechanisms, including peripheral destruction, consumption, and reduced marrow production. This study ...

Deep Learning Enables Automated Detection of Mature B Cell Neoplasms by Flow Cytometry.

Multiparameter flow cytometry is essential for diagnosing mature B-cell lymphomas, yet analysis remains largely manual, time-consuming, and subject to...