Hematology

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, anemia, malaria, lymphoma and infections. Unusual variations in color, shape and size of blood cells indicate abnormal condition. We used a total of 117 images from Leishman stained peripheral blood smears acquired at a magnification of 100X. In this paper we present a robust image processing algorit...

Machine learning-based diagnosis for disseminated intravascular coagulation (DIC): Development, external validation, and comparison to scoring systems.

The major challenge in the diagnosis of disseminated intravascular coagulation (DIC) comes from the lack of specific biomarkers, leading to developing composite scoring systems. DIC scores are simple and rapidly applicable. However, optimal fibrin-related markers and their cut-off values remain to be defined, requiring optimization for use. The aim of this study is to optimize the use of DIC-relat...

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 design of new medical devices. Haemoglobin is a vi...

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 ophthalmological and cardiovascular disease diagnosis, the ac...

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

Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for me...

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 diagnosis and classification of growth hormone deficien...

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 intraoperative and battlefield settings given the variabili...

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 patients suffering from cancers such as hematologica...

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 physiologic and pathologic roles of the light chain st...

Combining Bootstrap Aggregation with Support Vector Regression for Small Blood Pressure Measurement.

Blood pressure measurement based on oscillometry is one of the most popular techniques to check a health condition of individual subjects. This paper ...

Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network.

Microscopic interpretation of stained smears is one of the most operator-dependent and time-intensive activities in the clinical microbiology laborato...

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.

Blood leucocytes segmentation in medical images is viewed as difficult process due to the variability of blood cells concerning their shape and size a...

Tranexamic acid administration for anatomic and reverse total shoulder arthroplasty: a systematic review and meta-analysis.

BACKGROUND: Tranexamic acid (TXA) has been shown to reduce perioperative blood loss and risk of blood transfusion. Evidence establishing its efficacy ...

Tranexamic acid reduces blood loss after primary shoulder arthroplasty: a double-blind, placebo-controlled, prospective, randomized controlled trial.

BACKGROUND: Tranexamic acid (TXA) is an antifibrinolytic that has been shown to decrease blood loss and transfusion rates after hip and knee arthropla...

Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection.

The survival of patients undergoing hematopoietic cell transplantation (HCT) from unrelated donors for acute leukemia exhibits considerable variation,...

Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation wit...

Image analysis and machine learning for detecting malaria.

Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more than 400,000 deaths per year. Besides biomedical re...

Identification of candidate serum biomarkers of childhood-onset growth hormone deficiency using SWATH-MS and feature selection.

UNLABELLED: A typical clinical manifestation of growth hormone deficiency (GHD) is a short stature resulting from delayed growth, but GHD affects bone...

Physician perceptions of blood pressure control in patients with chronic kidney disease and target blood pressure achievement rate.

BACKGROUND: Blood pressure (BP) control is the most-established method for the prevention of chronic kidney disease (CKD) progression. However, the id...

25-hydroxyvitamin D Levels was not Associated with Blood Pressure and Arterial Stiffness in Patients with Chronic Kidney Disease.

BACKGROUND: We investigated the effect of vitamin D deficiency on cardiovascular risk profiles in an Asian population with chronic kidney disease (CKD...