Latest Articles for Cancer Research

A novel method enhances how models interpret tissue samples in cancer detection.

Vis-SPLIT aids in the effective analysis of RNA-Seq data for cancer research.

Learn how BACH1 regulates oxidative stress and its impact on health.

Examining how injury impacts basal cell carcinoma behavior and treatment outcomes.

New insights into gene expression and immune cells in colorectal cancer treatment.

Research highlights role of HDACs in ALCL and potential new therapies.

New insights into cellular interactions reveal changes during colorectal cancer.

Introducing GenePointNet: A new method for analyzing RNA sequencing data.

This study explores how mutations in tumor suppressor genes affect cancer risk.

Researchers reveal a nine-miRNA signature linked to liver cancer survival outcomes.

This article examines how mutations affect tumor growth and behavior.

An innovative approach uses sound waves to identify leukemia cells quickly.

A challenge reveals progress in automated mitotic figure detection in tumor samples.

New models aim to improve accuracy in cancer treatment predictions based on molecular data.

Rac-1 shows promise as a new inhibitor for TDO2, aiding cancer therapies.

Centrosomes are key to proper cell division and maintaining genetic stability.

Improving dendritic cell production may enhance cancer therapies.

Discover how math models help us understand stem cell behavior and healing.

New models provide insights into avascular tumor growth and behavior.

Brachyury's impact on cancer, especially chordoma, reveals new treatment possibilities.

Examining racial bias in AI predictions using breast cancer MRI data.

Research highlights the role of chemokines in treating osteosarcoma effectively.

This study tackles challenges of repeatability in radiomics by correcting batch effects.

A study highlights factors leading to late cancer diagnoses in Ethiopian women.

Study reveals key factors impacting early deaths in HNC patients in Sweden.

Researchers develop MARS, enhancing protein movement control in mitosis.

Proper data separation enhances lung cancer detection accuracy using deep learning.

Study reveals CEBPB's role in kidney cancer progression and patient outcomes.

Study reveals how normal and cancer tissues differ in gene expression.

Exploring Drosophila's role in studying cancer mechanisms and potential treatments.

Advances in microscopy reveal how cells communicate and adapt in their environment.

RIGATonI advances cancer treatment by connecting genetic changes to immune cell activity.

New models improve predictions for cancer patient outcomes using diverse data sources.

This article explores the vital function of DBD-α4 in Ewing sarcoma development.

A new platform that streamlines the analysis of cell tracking data.

New approach reveals kinase dynamics and drug design insights.

A study introduces a method for identifying cancer cells using advanced imaging and deep learning.

A study reveals how FAU-Net improves prostate cancer detection using MRI images.

Exploring the role of machine learning in thyroid cancer detection and treatment.

Combining classical and quantum methods to improve cancer detection accuracy.