Hematology

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

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Showing 2017-2037 of 6,889 articles
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks.

INTRODUCTION: Blood cultures are often performed in the intensive care unit (ICU) to detect bloodstr...

Radiofrequency endometrial ablation for treating heavy menstrual bleeding in women with chronic renal failure.

OBJECTIVE: The study objective was to retrospectively evaluate the efficacy and safety of radiofrequ...

A neural network based model effectively predicts enhancers from clinical ATAC-seq samples.

Enhancers are cis-acting sequences that regulate transcription rates of their target genes in a cell...

Cooling and Cryopreservation of Equine Platelet-Rich Plasma With Dimethyl Sulfoxide and Trehalose.

Equine platelet-rich plasma (PRP) has been used in horses to repair bone, articular and tendinous le...

Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.

Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-ter...

Blood Pressure Assessment with Differential Pulse Transit Time and Deep Learning: A Proof of Concept.

BACKGROUND: Modern clinical environments are laden with technology devices continuously gathering ph...

Classification of acute lymphoblastic leukemia using deep learning.

Acute Leukemia is a life-threatening disease common both in children and adults that can lead to dea...

Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

INTRODUCTION: Blood pressure (BP) has been a potential risk factor for cardiovascular diseases. BP m...

A GC-MS method for the determination of furanylfentanyl and ocfentanil in whole blood with full validation.

PURPOSE: Fentanyl analogues are popular in recent years among drug addicts and have been related to ...

Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose.

Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variabilit...

A Magnetically Controlled Soft Microrobot Steering a Guidewire in a Three-Dimensional Phantom Vascular Network.

Magnetically actuated soft robots may improve the treatment of disseminated intravascular coagulatio...

Analysis of platelet-activating factors in severe sepsis by flow cytometry and its correlation with clinical sepsis scoring system: A pilot study.

BACKGROUND: Sepsis is a major global healthcare concern. Platelets and leucocytes play a key role in...

Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients.

IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse e...

In Silico Prediction of Blood-Brain Barrier Permeability of Compounds by Machine Learning and Resampling Methods.

The blood-brain barrier (BBB) as a part of absorption protects the central nervous system by separat...

Machine learning reveals chronic graft--host disease phenotypes and stratifies survival after stem cell transplant for hematologic malignancies.

The application of machine learning in medicine has been productive in multiple fields, but has not ...

Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.

People suffering from neuromuscular disorders such as locked-in syndrome (LIS) are left in a paralyz...

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