Latest Articles for Biomedical Research

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.

New methods improve accuracy in identifying drug targets for better treatments.

AlphaProteo uses machine learning to design effective protein-binding proteins for research and medicine.

This article examines how epithelial cells behave under compression.

Learn how alternative splicing impacts proteins and gene predictions.

Research sheds light on how RyR clusters affect heart rhythms.

New methods enhance RNA sequence generation and optimization, impacting gene regulation.

UVAE tackles challenges in flow cytometry data analysis effectively.

AI is transforming how researchers create virtual cells to study biological processes.

DBiTplus combines RNA and protein analysis for better cell insights.

Using machine learning to model electrical signals in the heart.

TDC-2 enhances research in drug development through better data access and multimodal models.