Hematology

Machine learning and multi-omics analysis reveal key regulators of proneural-mesenchymal transition in glioblastoma.

Glioblastoma (GBM) is classified into subtypes according to the molecular expression profile; the proneural subtype has a relatively good prognosis, and the mesenchymal type is the most aggressive form with the worst prognosis. GBM undergoes proneural-mesenchymal transition (PMT) during its evolution or in response to changes in the microenvironment or therapeutic interventions. PMT is accompanied...

A Novel Boundary-Aware Transformer Based Fire Hawk Algorithm for Leukemia Classification using Blood Smear Images.

Leukemia is a type of blood cancer affecting people of all ages and is the leading cause of death worldwide. The most common form of bone marrow leukemia is acute lymphoblastic leukemia (ALL). Diagnoses often require highly invasive diagnostic procedures, which are expensive and time-consuming. To overcome these issues, a novel Boundary-Aware Transformer based Fire Hawk Algorithm (BAT-FIRE) model ...

Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.

Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color co...

Advancing blood cell detection and classification: performance evaluation of modern deep learning models.

The detection and classification of blood cells are important in diagnosing and monitoring a variety of blood-related illnesses, such as anemia, leuke...

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading to complications such as retinopathy, nephropathy,...

Integration of Metabolomics and Proteomics Reveals the Molecular Characterization of High-Altitude Hyperuricemia.

Hypobaric hypoxia-induced hyperuricemia (HUA) is a major health challenge for high-altitude populations, yet its molecular mechanisms remain poorly un...

Tumor-specific draining lymph node CD8 T cells orchestrate an anti-tumor response to neoadjuvant PD-1 immune checkpoint blockade.

Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critical mechanistic insight and shift therapeutic strat...

From Molecular Precision to Clinical Practice: A Comprehensive Review of Bispecific and Trispecific Antibodies in Hematologic Malignancies.

Multispecific antibodies have redefined the immunotherapeutic landscape in hematologic malignancies. Bispecific antibodies (BsAbs), which redirect cyt...

Relationship between spleen volume and diameter for assessment of response to treatment on CT in patients with hematologic malignancies enrolled in clinical trials.

PURPOSE: Investigate spleen diameter (d) and volume (v) relationship in patients with hematologic malignancies (HM) by determining volumetric threshol...

Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction.

Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Global Registry of Acute Coronary Events (GRACE) scor...

Ideal emergence profile made using artificial intelligence tooth segmentation technology and mirror image feature of CAD software programs for a maxillary anterior implant-supported single crown.

For implant-supported restorations, the contour of their emergence profile is influenced by the implant's proximity to the neighboring bone and tooth ...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by significant cellular damage due to its accumulati...

A Mixed-attention Network for Automated Interventricular Septum Segmentation in Bright-blood Myocardial T2* MRI Relaxometry in Thalassemia.

RATIONALE AND OBJECTIVES: This study develops a deep-learning method for automatic segmentation of the interventricular septum (IS) in MR images to me...

Predicting the Higher Energy Need for Effective Defibrillation Using Machine Learning Based on an Animal Model.

: Early defibrillation improves outcomes in cardiac arrest, but the optimal defibrillation strategy and energy requirements remain debated. This study...

Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots.

Accurately predicting the refractive index of hemoglobin across various wavelengths and concentrations is critical for advancing optical diagnostic te...

Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening.

INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular heterogeneity of Alzheimer's disease (AD). However...

Cell death-related signature genes: risk-predictive biomarkers and potential therapeutic targets in severe sepsis.

Sepsis is a systemic inflammatory response syndrome that predisposes to severe lung infections (SeALAR) such as sepsis-associated acute lung injury (S...

Development and validation of a machine learning-based model for predicting intraoperative blood loss during burn surgery.

BACKGROUND: Intraoperative blood loss is a critical issue in the care of patients with burns. The timely identification of patients at elevated risk f...

A cell-interacting and multi-correcting method for automatic circulating tumor cells detection.

Sensitive detection of circulating tumor cells (CTCs) from peripheral blood can serve as an effective tool in the early diagnosis and prognosis of can...

Divergent Immune Pathways in Coronary Artery Disease and Aortic Stenosis: The Role of Chronic Inflammation and Senescence.

Coronary artery disease (CAD) remains a major cause of cardiovascular morbidity and mortality, with growing evidence linking immune dysregulation to i...