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Subcategories: Hematology Hemophilia Leukemia Lymphoma Multiple Myeloma Myeloma

Showing 2479-2499 of 6,895 articles

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 PMID: 40406513

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 PMID: 40391097

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 PMID: 40378164

Deep learning based semantic segmentation of leukemia effected white blood cell.

Medical image segmentation has numerous applications in diagnosing different diseases. Various types...

Jan 2025 PMID: 40338981

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 PMID: 39298512

Artificial intelligence model for perigastric blood vessel recognition during laparoscopic radical gastrectomy with D2 lymphadenectomy in locally advanced gastric cancer.

BACKGROUND: Radical gastrectomy with D2 lymphadenectomy is standard surgical protocol for locally ad...

Dec 2024 PMID: 39963943

Risk prediction of integrated traditional Chinese and western medicine for diabetes retinopathy based on optimized gradient boosting classifier model.

In order to take full advantage of traditional Chinese medicine (TCM) and western medicine, combined...

Dec 2024 PMID: 39705459

Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell tra...

Dec 2024 PMID: 39368807

Predicting apheresis yield and factors affecting peripheral blood stem cell harvesting using a machine learning model.

OBJECTIVE: Mobilization and collection of peripheral blood stem cells (PBSCs) are time-intensive and...

Dec 2024 PMID: 39719078

Stratification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Syndrome: The Role of the Machine Learning-Derived "PRAISE Score".

BACKGROUND: The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) ...

Dec 2024 PMID: 39699030

ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood-brain barrier peptides.

Blood-brain barrier peptides (BBBP) could significantly improve the delivery of drugs to the brain, ...

Nov 2024 PMID: 39987496

Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.

Major depressive disorder (MDD) is a severe psychiatric disorder that currently lacks any objective ...

Nov 2024 PMID: 39592240

Resolution-enhanced quantitative phase imaging of blood platelets using a generative adversarial network.

We developed a new method to enhance the resolution of blood platelet aggregates imaged via quantita...

Nov 2024 PMID: 39889090

Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with infection: a single-centred retrospective study.

() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...

Nov 2024 PMID: 39606806

Identification of Clonal Hematopoiesis Driver Mutations through In Silico Saturation Mutagenesis.

Clonal hematopoiesis (CH) is a phenomenon of clonal expansion of hematopoietic stem cells driven by ...

Sep 2024 PMID: 38722595

Early identification of patients at risk for iron-deficiency anemia using deep learning techniques.

OBJECTIVES: Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adul...

Sep 2024 PMID: 38642073

[Opportunities and expectations brought by artificial intelligence assisted peripheral blood cell morphology examination].

The morphological examination of blood cells under manual microscopes is a classic method, but the o...

Aug 2024 PMID: 39168838

Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?

Atrial fibrillation (AF) prediction and screening are of important clinical interest because of the ...

Aug 2024 PMID: 39073570

Browse Categories

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

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

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

Deep learning based semantic segmentation of leukemia effected white blood cell.

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

Artificial intelligence model for perigastric blood vessel recognition during laparoscopic radical gastrectomy with D2 lymphadenectomy in locally advanced gastric cancer.

Risk prediction of integrated traditional Chinese and western medicine for diabetes retinopathy based on optimized gradient boosting classifier model.

Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

Predicting apheresis yield and factors affecting peripheral blood stem cell harvesting using a machine learning model.

Stratification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Syndrome: The Role of the Machine Learning-Derived "PRAISE Score".

ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood-brain barrier peptides.

Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.

Resolution-enhanced quantitative phase imaging of blood platelets using a generative adversarial network.

Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with infection: a single-centred retrospective study.

Identification of Clonal Hematopoiesis Driver Mutations through In Silico Saturation Mutagenesis.

Early identification of patients at risk for iron-deficiency anemia using deep learning techniques.

[Opportunities and expectations brought by artificial intelligence assisted peripheral blood cell morphology examination].

Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records.

A Greek Conversational Agent for Hematologic Malignancies: Usability and User Experience Assessment.

Improving Interpretability of Leucocyte Classification with Multimodal Network.

Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?

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