Hematology

The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes.

This consensus report evaluates the potential role of continuous glucose monitoring (CGM) in screeni...

MACHINE LEARNING AND BIOINFORMATICS TO IDENTIFY COAGULATION BIOMARKERS IN SEPSIS-RELATED KIDNEY INJURY.

Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...

Systemic coagulation-inflammation index in the prediction of ISR in patients undergoing drug-eluting stents implant: A retrospective study based on multiple machine learning methods.

BACKGROUND: The Systemic Coagulation-Inflammation index (SCI) is an innovative hematological metric ...

Associations of dietary patterns with serum 25(OH) vitamin D and serum anemia related biomarkers among expectant mothers: A machine learning based approach.

BACKGROUND: Machine learning algorithms (MLA) gained prominence in nutritional epidemiology for anal...

DETECTION OF HYPOVOLEMIA BY THE HYPOTENSION PREDICTION INDEX IS ASSOCIATED WITH GASTROINTESTINAL MICROCIRCULATION DYSFUNCTION IN A PORCINE MODEL OF HEMORRHAGE.

Background: Postoperative gastrointestinal (GI) dysfunction is a common complication following criti...

LUNETR: Language-Infused UNETR for precise pancreatic tumor segmentation in 3D medical image.

The identification of early micro-lesions and adjacent blood vessels in CT scans plays a pivotal rol...

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...

RBC balanced immuno-inflammatory signatures identify advanced breast cancer patients on CDK4/6 inhibitors at increased risk of progression and death.

The association of immuno-inflammatory parameters, especially RBC balanced signatures, with survival...

Blood-based proteomic profiling identifies OSMR as a novel biomarker of AML outcomes.

Inflammation is increasingly recognized as a critical factor in acute myeloid leukemia (AML) pathoge...

Artificial intelligence approaches for tumor phenotype stratification from single-cell transcriptomic data.

Single-cell RNA-sequencing (scRNA-seq) coupled with robust computational analysis facilitates the ch...

Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis.

BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by increas...

Improving Bovine Brucellosis Diagnostics: Rapid, Accurate Detection via Blood Serum Infrared Spectroscopy and Machine Learning.

Diagnosing bovine brucellosis is a major challenge due to its significant economic impact, causing l...

Aryl Organophosphate Esters and Hemostatic Disruption: Identifying Risk through Machine Learning and Experimental Validation.

Organophosphate esters (OPEs) have emerged as a significant environmental concern due to their wides...

Enhanced Early Detection of Colorectal Cancer via Blood Biomarker Combinations Identified Through Extracellular Vesicle Isolation and Artificial Intelligence Analysis.

Colorectal cancer (CRC) remains a major cause of cancer-related deaths worldwide, with early detecti...

Revolutionizing breast cancer monitoring: emerging hematocrit-based metrics - a narrative review.

Breast cancer remains a leading global health concern, with significant strides made in early detect...

Machine-learning models to predict iron recovery after blood donation: a model development and external validation study.

BACKGROUND: Machine-learning models directly predicting iron biomarkers after blood donation could h...

From prediction to personalisation: optimising blood donation with machine learning.

Machine Learning Model to Guide Empirical Antimicrobial Therapy in Febrile Neutropenic Patients With Hematologic Malignancies.

BACKGROUND/AIM: Optimal antimicrobial selection for patients with febrile neutropenia (FN) may diffe...

Diagnostic Stewardship of Blood Cultures in the Pediatric ICU Using Machine Learning.

OBJECTIVE: The medical community recently experienced a severe shortage of blood culture media bottl...

[Rapid identification and analysis of hemoglobin isoelectric focusing electrophoresis images based on deep learning].

Gel electrophoresis is used to separate and analyze macromolecules （such as DNA， RNA， and proteins） ...

Prediction of enhanced coagulation with varied pre-oxidations for seasonal variations of cyanobacteria-dominated algae-laden water quality.

Enhanced coagulation with pre-oxidation is a cost-effective approach for managing seasonal water qua...