Hematology

Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets.

The treatment of sepsis is challenging due to unclear mechanisms. Propionate is increasingly seen as...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Recent advances of engineering cell membranes for nanomedicine delivery across the blood-brain barrier.

The blood-brain barrier (BBB) poses a major challenge to the effective delivery of therapeutic agent...

Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.

PURPOSE: Machine learning is a powerful tool to develop algorithms for clinical diagnosis. However, ...

Hippocampal blood oxygenation predicts choices about everyday consumer experiences: A deep-learning approach.

This research investigates the neurophysiological mechanisms of experiential versus monetary choices...

Multi-omics analysis of the effects of pla2g4a on the prognosis of various cancers and its experimental validation in breast cancer cell lines.

BACKGROUND: Platelet-related exosomes (PREs) are microparticles secreted by platelets into the blood...

Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.

Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...

From imaging to computational domains for physics-driven molecular biology simulations: Hindered diffusion in platelet masses.

When formed in vivo, murine hemostatic thrombi exhibit a heterogeneous architecture comprised of dis...

Association between prenatal exposure to per- and polyfluoroalkyl substances and blood pressure among preschool-aged children: The moderating effect of child-age and the mediating effect of inflammatory cytokine.

Our aim is to evaluate the association of prenatal exposure to per- and polyfluoroalkyl substances (...

A comprehensive targeted panel of 295 genes: Unveiling key disease initiating and transformative biomarkers in multiple myeloma.

BACKGROUND: Multiple myeloma (MM) is a hematological malignancy that progresses from a benign precur...

eNCApsulate: neural cellular automata for precision diagnosis on capsule endoscopes.

PURPOSE: Wireless capsule endoscopy (WCE) is a noninvasive imaging method for the entire gastrointes...

Publisher Correction: Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation.

Visit-to-visit blood pressure variability as a prognostic marker in peritoneal dialysis: insights from machine learning-based risk models.

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), h...

Machine learning-based prediction of G-CSF-induced hematopoietic stem cell mobilization outcomes in healthy volunteers.

Haematopoietic stem cell transplantation (HSC-T) has been established as a fundamental therapeutic i...

3BTRON: A Blood-Brain Barrier Recognition Network.

The blood-brain barrier (BBB) plays a crucial role in maintaining brain homeostasis. During ageing, ...

Identifying features of prior hemorrhage in cerebral cavernous malformations on quantitative susceptibility maps: a machine learning pilot study.

Features of new bleeding on conventional imaging in cerebral cavernous malformations (CCMs) often di...

Femtosecond laser-assisted printing of hard magnetic microrobots for swimming upstream in subcentimeter-per-second blood flow.

Magnetic microrobots have garnered increasing attention in the biomedical field due to their wireles...

Development of a Risk Prediction Model for Linezolid-Induced Thrombocytopenia Based on the Machine Learning Algorithm.

The research aimed to develop a validated model for predicting the risk of linezolid-induced thrombo...

Glycoproteomics Analysis to Identify Potential Biomarkers and Investigate CD14 Monocyte Activation Mechanisms via Exosomal Proteins in Cerebral Infarction Using a Novel Glycogen-Functionalized Nanoprobe.

Cerebral infarction (CI) is a leading cause of disability and mortality, with activated plasma monoc...

DeepPerfusion: A comprehensible two-branched deep learning architecture for high-precision blood volume pulse extraction based on imaging photoplethysmography.

Imaging photoplethysmography (iPPG) is a contactless approach for the extraction of the blood volume...