Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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Showing 3046-3066 of 6,829 articles
Machine learning model predicts new-onset lower extremity deep vein thrombosis after pelvic fracture surgery and targeted diagnosis

Postoperative new-onset deep vein thrombosis (PNO-DVT) of the lower extremities represents a prevale...

Deep learning representations and proteome-wide Mendelian randomization identify causal mediators of myocardial fibrosis

Cardiac fibrosis is a central pathological process in heart failure, yet the molecular mechanisms go...

Transcriptome profiling to identify blood biomarkers for peritoneal endometriosis

Peritoneal endometriosis (PE) remains challenging to diagnose, as it cannot be detected using standa...

Erythrogram directly from the microscope eyepiece: a feasibility study using artificial intelligence

Erythrocyte indices are essential for the diagnosis and monitoring of hematologic diseases, but thei...

A method for lung cancer detection and staging from a drop of blood plasma via Raman spectroscopy of well-based samples (ROWS)

We present a new method for lung pathology detection in blood plasma, including lung cancer staging....

Early Detection of Cardiovascular Disease Risk Using Multi-Parameter Biomarker Analysis and Machine Learning: A Prospective Cohort Study

Cardiovascular disease (CVD) remains the leading cause of mortality globally, with many events occur...

Nationwide Spatiotemporal Dynamics and Machine Learning Prediction of Anemia Among Women in Lesotho, 2023–2024

Despite substantial efforts, anemia continues to pose a significant public health challenge, disprop...

Temporal deep learning with clinically engineered biomarkers for the early prediction of type 2 diabetes

Diabetes mellitus remains a major global health burden, causing an estimated 3.4 million deaths in 2...

Data-augmented machine learning redefines the effective concentration of eculizumab in complement blood disorders

Eculizumab, a humanized monoclonal antibody targeting the complement lytic pathway protein C5, has d...

Multi-domain Identification of Myocardial Infarction Incidence using Explainable AI: The Overlooked Role of Periodontal Health

Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Desp...

A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia

Oral cancer constitutes a significant global health concern, resulting in 277,484 fatalities in 20...

Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as infection.

BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,0...

Jan 2025 40438212
Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers.

The mortality rate is very high in patients with severe COVID-19. Nearly 32% of COVID-19 patients a...

Jan 2025 40391097
Significance and mechanisms of perineural invasion in malignant tumors.

Cancer remains the second leading cause of death worldwide. Tumor invasion and metastasis pose signi...

Jan 2025 40421086
Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies.

Tuberculosis (TB) remains a global health challenge, with timely and accurate diagnosis being critic...

Jan 2025 40406513
An efficient leukemia prediction method using machine learning and deep learning with selected features.

Leukemia is a serious problem affecting both children and adults, leading to death if left untreated...

Jan 2025 40378164
An in vitro and machine learning framework for quantifying serum albumin binding of per- and polyfluoroalkyl substances.

Per- and polyfluoroalkyl substances (PFAS) are a diverse class of anthropogenic chemicals; many are ...

Jan 2025 39298512
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