Hematology

Leukemia

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

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Predicting candidate biomarkers for COVID-19 associated with leukemia in children.

Since the COVID-19 pandemic, a significant number of pediatric leukemia patients have shown to have ...

Machine learning for predicting acute myocardial infarction in patients with sepsis.

Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in inten...

Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department.

BACKGROUND: Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, wi...

CXCL12 impact on glioblastoma cells behaviors under dynamic culture conditions: Insights for developing new therapeutic approaches.

Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival ...

Promoting hand hygiene in a chemotherapy day center: the role of a robot.

BACKGROUND: Hand hygiene is a critical component of infection prevention in healthcare settings. Inn...

Knowledge is not all you need for comfort in use of AI in healthcare.

OBJECTIVES: The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transfo...

Residue-Level Multiview Deep Learning for ATP Binding Site Prediction and Applications in Kinase Inhibitors.

Accurate identification of adenosine triphosphate (ATP) binding sites is crucial for understanding c...

Artificial intelligence in the care of children and adolescents with chronic diseases: a systematic review.

UNLABELLED: The integration of artificial intelligence (AI) and machine learning (ML) has shown pote...

Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management.

One of the health challenges in the 21st century is to rethink approaches to non-communicable diseas...

Comparative study of alpha-glucosidase inhibition of four Vietnamese medicinal plants , , , and : and studies.

Four medicinal plants , , , and growing in the South of Vietnam were investigated for their alpha-g...

Classification of acute myeloid leukemia by pre-trained deep neural networks: A comparison with different activation functions.

Acute Myeloid Leukemia(AML) is a rapidly progressing cancer affecting blood and bone marrow, marked ...

Docking-Informed Machine Learning for Kinome-wide Affinity Prediction.

Kinase inhibitors are an important class of anticancer drugs, with 80 inhibitors clinically approved...

Integrated Proteomics and Machine Learning Approach Reveals PYCR1 as a Novel Biomarker to Predict Prognosis of Sinonasal Squamous Cell Carcinoma.

Sinonasal squamous cell carcinoma (SNSCC) is a rare tumor with a high 5-year mortality rate. However...

A programmable, open-source robot that scratches cultured tissues to investigate cell migration, healing, and tissue sculpting.

Despite the widespread popularity of the "scratch assay," where a pipette is dragged manually throug...

Induced biochemical variations in maize parental lines affect the life table and age-specific reproductive potential of (J.E. Smith).

In recent years, the fall armyworm, has rapidly emerged as a global invasive pest, challenging the ...

Investigating the Bromoform Membrane Interactions Using Atomistic Simulations and Machine Learning: Implications for Climate Change Mitigation.

Methane emissions from livestock contribute to global warming. Seaweeds used as food additive offer ...

Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.

The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...

Interpretable multi-modal artificial intelligence model for predicting gastric cancer response to neoadjuvant chemotherapy.

Neoadjuvant chemotherapy assessment is imperative for prognostication and clinical management of loc...

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