Hematology

Consistency analysis of AI cell recognition results between non anticoagulant and anticoagulant marrow smear after Wright's staining.

The integration of artificial intelligence with bone marrow cytology represents a significant trend in the application of AI image recognition technology within the medical sector. Despite the current high accuracy of AI in cell identification, there remains a clinical need for fully automated AI cell recognition equipment that spans from sample processing to result generation. The source of the s...

Development and validation of a clinlabomics-based machine-learning model for noninvasive risk stratification of moderate-to-severe OSA.

PURPOSE: Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder strongly associated with adverse cardiometabolic and neurocognitive outcomes. Polysomnography (PSG), the diagnostic gold standard, is not a readily accessible test. Therefore, accurate risk stratification tools independent of PSG are critically needed to optimize clinical triage and timely intervention. METHODS: We retrosp...

Thrombosis at the crossroads of inflammation, coagulation, and vascular biology: Recent advances and emerging therapeutic strategies.

Thrombosis is a multifaceted pathological process involving intravascular clot formation that drives a range of cardiovascular and cerebrovascular dis...

Physics-informed neural networks for predicting laser-tissue interaction in maxillofacial reconstruction surgery.

This study employs Physics-Informed Neural Networks (PINNs) to simulate the thermal dynamics of biological tissue under laser irradiation by embedding...

Machine learning and SHAP-based risk assessment of PICC-related bloodstream infections in premature infants at the time of clinical suspicion.

BACKGROUND: Peripherally inserted central catheter-related bloodstream infections (PICC-CRBSI) pose a serious threat to preterm infants. This study ai...

Machine learning enhanced optical spectroscopy for breast cancer diagnosis: A review.

This literature review examines the transformative role of machine learning (ML) and deep learning (DL) in enhancing optical spectroscopy for breast c...

A Modular and Scalable FPGA Platform for Intelligent, High-Throughput Image-Activated Cell Sorting.

Image-activated cell sorting (IACS) enables high-throughput cell classification by linking cellular morphology to physiology. While integrating advanc...

EXPRESS: Diagnostic Value of Short-Term Longitudinal Clinical and Laboratory Trajectories for Gram-Negative Bacteremia in ICU Patients.

Early identification of gram-negative bacteremia in intensive care units (ICUs) remains challenging at the time of blood culture sampling, when clinic...

Blood viscosity in clinical practice: A critical review of diagnostic utility, therapeutic implications, and evidence gaps.

Blood viscosity is a key rheological measure that is a biomarker of hematological, cardiovascular, and inflammatory conditions. This systematic review...

Hyperglycemia-driven metabolic memory signaling destabilizes METTL1 to trigger inflammatory hypertrophy and fibrosis in diabetic cardiomyopathy.

BACKGROUND: Diabetic cardiomyopathy (DCM) occurs in the context of coronary artery disease or pressure overload heart disease, characterized by altera...

Beyond Diagnosis: A Systematic Review of Artificial Intelligence and Deep Learning in Monitoring Iron Overload and Organ Toxicity in Beta-Thalassemia.

Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a primary cause of organ toxicity and mortality desp...

Machine learning in bleeding risk assessment for low-molecular-weight heparin or fondaparinux: a predictive model study.

BACKGROUD:  No universally accepted model exists for predicting bleeding risk in patients receiving low-molecular-weight heparin or fondaparinux. OBJE...

Analytical approaches for the isolation and characterisation of circulating tumour cells in clinical practice.

Circulating tumour cells (CTC) are rare cells shed from primary and metastatic tumours into the bloodstream, representing a minimally invasive source ...

Evaluation of Large-Language Models for Structured Feature Extraction of Anatomic and Clinical Pathology Reports.

BACKGROUND: Feature extraction via manual chart review is often used for both patient care and research, but it is time-intensive and costly. Recent i...

CellFuse enables Multi-modal Integration of Single-cell and Spatial Proteomics Data for Systems-level Analysis in Cancer.

Analysis of tumors using single-cell and spatial modalities is critical to advance our understanding of cancer. The growth of technologies that enable...

Interpretable machine learning for postoperative nausea and vomiting prediction in elderly orthopedic patients: a comparative study.

BACKGROUND: Postoperative nausea and vomiting (PONV) prolongs hospitalization and reduces patient satisfaction. Identifying high-risk elderly patients...

Assessment of the Performance of Siemens Scopio Digital Morphology on Bone Marrow Aspirates in Onco-Hematology.

OBJECTIVES: Digital morphology (DM) systems assisted by artificial intelligence are increasingly being introduced into hematology laboratories; howeve...

Establishment of a Highly Accurate and Sensitive Age Prediction Model for Multiple Body Fluids: Blood, Saliva, and Semen Using Pyrosequencing.

DNA methylation-based age prediction has become a reliable method for individual identification. While current models have achieved high accuracy when...

Smart label-free SPR biosensing platform for hemoglobin and urine glucose detection via machine learning.

This article presents the design and the numerical analysis of a smart label-free Surface Plasmon Resonance (SPR) sensor to detect the concentration o...

Interpretable LightGBM model for predicting postoperative gastrointestinal hemorrhage in elderly hip fracture patients: leveraging systemic inflammation and medication exposures for personalized risk stratification.

BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fracture surgery in older adults, yet perioperative risk ...