Latest Articles for Biomedical Research

CRED dataset enhances research on gene-disease causal relationships in biomedical literature.

SSAI-3D enhances clarity in 3D imaging for biological research.

This research sheds light on the essential functions of SLC transporters in cellular processes.

This study uses models to analyze cell movement in experiments and predict behavior.

A new approach enhances the identification of medical terms in text.

New models improve medical imaging accuracy through better light and sound interactions.

Study reveals environmental effects on DNA changes in aging mice.

Research uncovers genetic factors linked to Parkinson's Disease, aiding potential treatment methods.

A new approach to create realistic 3D models of blood vessels using denoising diffusion.

C-DASH enhances multi-photon microscopy for clearer biological imaging.

This research focuses on systems for answering biomedical questions using large language models.

Multi-Peptide combines data models to enhance peptide behavior predictions.

Research highlights zebrafish to study brain cell interactions and potential for regeneration.

Russian researchers create a new standard human genome with high-throughput sequencing.

Research advances our understanding of SLC transporters and their role in health.

Large language models assist researchers in generating innovative biomedical hypotheses.

Miniature creates clear thumbnails for multiplexed tissue images, aiding research.

A novel technique allows detailed imaging without complex setups.

Investigating how infected cells respond through different death mechanisms.

This study analyzes how genetic changes in STAT1 affect immune function.

Research reveals how cardiac cell mechanics affect nuclear damage.

Contractile injection systems play a key role in viral infections.

A two-stage testing approach simplifies interactions among numerous genetic variables.

HeCiX-KG merges clinical trial data with biological insights for better drug development.

Explore the exocyst's role in material transport within animal cells.

HiFIT enhances predictions from high-dimensional omics data for better disease understanding.

Examining the role of biofilms in Salmonella Typhi infections and implications for treatment.

New method extracts mucus from pig trachea for studying lung diseases.

Research reveals new methods to study stress granules in cells during stress responses.

A study on how SLC transporters interact and their impacts on cellular functions.

New tools improve understanding of gene activity in tissues.

New methods enhance predictions for immune response research.

New tools enhance the study of gene expression in RNA sequencing.

Research utilizes optimization and machine learning to analyze respiratory infections caused by Francisella tularensis.

New methods enhance semantic segmentation by considering relationships between classes.

New methods combine gene activity and tissue structure for better disease insights.

Study refines methods for peptide measurement and degradation in biological samples.

Research reveals optimal sequencing depth for detecting alternative splicing in human tissues.

A novel method enhances drug-target prediction using machine learning techniques.

Research reveals the significance of astrocytic networks in brain activity and communication.