Latest Articles for Biomedical Research

KinPFN uses deep learning to speed up RNA folding analysis.

Cytomarker combines human expertise and computer analysis for designing antibody panels.

Introducing interval assumptions to enhance biological data analysis.

RNAinformer revolutionizes RNA design by enabling accurate sequence predictions for complex structures.

Path-LLM offers new ways to create meaningful graph embeddings for diverse applications.

This study develops organoid models for better understanding porcine colon function.

Exploring how cells respond to mechanical signals for various biological processes.

New methods improve patient grouping for personalized cancer therapies.

Exploring new techniques for studying fluid movement in porous materials.

Research studies mouse models to better understand Alzheimer’s disease and potential treatments.

This study examines how proteins interact with and position in cell membranes.

A new method improves the analysis of single-cell RNA sequencing data.

New models improve drug research accuracy and reduce reliance on animal testing.

MGPfact enhances understanding of single-cell RNA sequencing data.

A flexible approach to handle missing data in integrated research.

Evaluating LLMs for medical classification and entity recognition performance.

New masking strategies improve antibody learning and prediction accuracy.

A fresh look at TCR specificity challenges older methods.

A new framework simplifies the integration of metadata in microbiome studies.

A look into how microbubbles enhance ultrasound imaging quality.

Introducing LEGEND, a method for analyzing gene expression across cell types and tissues.

A new model generates synthetic signals for better health data analysis.

A new approach to clustering biomedical articles using the recursive Max-Cut algorithm.

MIROSLAV offers an innovative approach to study animal activity and circadian rhythms.

We present improved clustering methods for organizing medical articles efficiently.

This article discusses advances in X-ray nano-computed tomography for biological research.

Short Linear Motifs are key players in cellular communication and protein interactions.

A new approach to label biomedical datasets efficiently and accurately.

Nanopore technology improves peptide classification using electrical signals and machine learning.

Lipids are vital to cell function and health, with ongoing research uncovering their importance.

Explore the vital roles of caveolins in various organisms.

A new motor design enhances precision in MRI-guided surgeries.

Exploring how graph structure influences predictions in biomedical knowledge graphs.

Researchers use Halbach arrays to influence heart cell behavior with magnetic fields.

MethylGPT advances DNA methylation analysis, enhancing disease prediction and health monitoring.

Research examines how tiny robots affect oxygen levels in the bloodstream.

G-quadruplexes influence gene control and have links to diseases.

New model enhances guide RNA predictions for CRISPR applications.

New yeast-based vaccines show promise for safer polio prevention.

New research sheds light on engineered cell therapies targeting disease.