Hematology

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

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Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Accurate and reliable prediction of clinical progression over time has the potential to improve the ...

Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT ...

Exploring the phenolic profile, antioxidant, antidiabetic and anti-hemolytic potential of Prunus avium vegetal parts.

The aim of the present work was to evaluate the phenolic profile of leaves, stems and flowers of P. ...

Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

The genetic analysis of complex traits does not escape the current excitement around artificial inte...

The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women.

OBJECTIVE: Artificial neural networks (ANNs) and classification and regression trees (CARTs) have be...

An Intelligent Model for Blood Vessel Segmentation in Diagnosing DR Using CNN.

Diabetic retinopathy (DR) is an eye disease, which affects the people who are all having the diabete...

Live remote digital microscopy in peripheral blood smear evaluation: Intraobserver concordance and experience.

INTRODUCTION: Peripheral blood smear (PBS) review is a routine laboratory test which requires pathol...

Increased vitamin B levels in children with zinc deficiency.

Additional nutritional deficiencies may accompany zinc deficiency. We determined the vitamin B level...

Cell-Like Micromotors.

In the past decade, versatile micro- and nanosized machines have emerged as active agents for large-...

Postoperative bleeding risk prediction for patients undergoing colorectal surgery.

BACKGROUND: There is limited consensus regarding risk factors for postoperative bleeding. The object...

Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.

In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automat...

Association of Vitamin D and Parathyroid Hormone Levels in Overweight and Obese Adolescents.

Vitamin D deficiency in known to be high in obese and overweight adolescents. Few studies in other c...

A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with ...

Studies on the effect of a nutritious vegetable, on HbSS blood.

Medicinal plants have been used traditionally in Africa, especially Nigeria, in the management of si...

Presentation and diagnosis of patients with type 3 von Willebrand disease in resources-limited laboratory.

Von Willebrand disease (VWD) is a bleeding disorder that results from decreased von Willebrand facto...

Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients.

BACKGROUND: We re-analyzed data from the Systolic Blood Pressure Intervention Trial (SPRINT) trial t...

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imagin...

Effects of nilotinib on platelet function in patients with chronic myeloid leukemia in chronic phase.

BACKGROUND: Tyrosine kinases are highly expressed in platelets and play an important role in their a...

Artificial Intelligence Approaches in Hematopoietic Cell Transplantation: A Review of the Current Status and Future Directions.

The evidence-based literature on healthcare is currently expanding exponentially. The opportunities ...

Plasminogen activator inhibitor-1 is associated with the metabolism and development of advanced colonic polyps.

Implications of plasminogen activator inhibitor-1 (PAI-1) in colonic polyps remain elusive. A prospe...

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