Hematology

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

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Evaluation of the DOAC-Stop® Procedure to Overcome the Effect of DOACs on Several Thrombophilia Screening Tests.

The impact of direct oral anticoagulants (DOACs) on laboratory assays used for thrombophilia testing...

A DNA Nanorobot Uprises against Cancer.

DNA-based nanorobots have been shown to sense and respond to molecular triggers, such as intracellul...

Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm - support vector regression model.

BACKGROUND AND OBJECTIVES: The refractive index of hemoglobin plays important role in hematology due...

Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning.

This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Ram...

A cure-rate model for Q-learning: Estimating an adaptive immunosuppressant treatment strategy for allogeneic hematopoietic cell transplant patients.

Cancers treated by transplantation are often curative, but immunosuppressive drugs are required to p...

Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cells.

Accurate and immediate diagnosis of malaria is important for medication of the infectious disease. C...

Prevalence of Nutritional Anemia and Hyperhomocysteinemia in Urban Elderly.

The data on the prevalence of nutritional anemia among the urban elderly population in India was lim...

Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine.

Thalassemia is considered one of the most common genetic blood disorders that has received excessive...

Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images.

Peripheral Blood Smear analysis plays a vital role in diagnosis of many diseases such as leukemia, a...

Predicting of the refractive index of haemoglobin using the Hybrid GA-SVR approach.

The optical properties of blood play crucial roles in medical diagnostics and treatment, and in the ...

Retinal blood vessel segmentation using fully convolutional network with transfer learning.

Since the retinal blood vessel has been acknowledged as an indispensable element in both ophthalmolo...

Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.

Statistical techniques such as propensity score matching and instrumental variable are commonly empl...

Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

BACKGROUND: The effect of gene expression data on diagnosis remains limited. Here, we show how diagn...

Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoper...

Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach.

The use of monoclonal antibodies (mAbs) constitutes one of the most important strategies to treat pa...

A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram.

The prevention, evaluation, and treatment of hypertension have attracted increasing attention in rec...

Probing light chain mutation effects on thrombin via molecular dynamics simulations and machine learning.

Thrombin is a key component for chemotherapeutic and antithrombotic therapy development. As the phys...

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