Latest Articles for Cancer Research

Examining NK cell changes reveals insights into myeloma treatment.

Study reveals the importance of age at diagnosis in cancer genetics.

Using TCR sequences and sparse coding to improve cancer type classification accuracy.

New model analyzes stained tissue images to predict tumor hypoxia and oxygen distribution.

MMA's role in cancer growth and T cell exhaustion reveals aging's impact on immunity.

Investigating how sleep affects breast cancer outcomes.

Text2Cohort makes cancer data more accessible for researchers through natural language queries.

Researchers assess DNA variant calling tools using synthetic data for cancer studies.

New models and methods improve predictions of tumor behavior and treatment response.

Deep learning models improve accuracy in breast cancer tissue classification.

Research reveals PRMT5's critical role in treating high-risk neuroblastoma.

SIGNAL-seq offers a fresh perspective on cell signaling and gene expression.

This article discusses new methods for improving cancer detection using gene selection and machine learning.

A guide to using Bayesian techniques for interpreting complex ddPCR data.

HyperTraPS-CT advances understanding of accumulation processes in various scientific fields.

Using Bayesian networks to assess lymph node involvement in uterine cancer.

Research explores small RNA sequencing for improved colorectal cancer detection.

Research highlights the need for new biomarkers in ovarian cancer detection.

Raidionics improves MRI scan analysis for better brain tumor assessment.

Study examines how loss of chromosome Y affects immune response in colorectal cancer.

Study reveals potential predictive markers for better treatment responses in colorectal cancer.

Research on predicting cell types using their shapes and sizes from images.

Research reveals ADRA2A's impact on pancreatic cancer behavior and metabolism.

Research highlights zebrafish embryos' role in studying ErbB inhibitors for cancer treatment.

Research uncovers patterns of chromosomal changes linked to various cancer types.

Examining the role of microtubules in cells and their impact on cancer therapies.

This article explores a mathematical approach to study tumor growth using the Gompertz model.

New AI methods improve cancer staging from pathology reports.

Study investigates links between natural radiation and cutaneous squamous cell carcinoma.

Research reveals how tumors can spread and evolve in hydras.

This tool creates realistic colorectal cancer tissue images and labels for analysis.

A new approach improves analysis efficiency and accuracy in complex biomedical datasets.

Research reveals how genetic variations affect cancer treatment and drug resistance.

Researchers enhance cancer understanding using data-driven approaches and new analytical tools.

Study highlights genetic factors and screening access for Hispanic women.

Research reveals complex gene behavior in kidney cancer cells.

A closer look at HUWE1's impact on the WNT signaling pathway and cancer.

Study reveals how ZNRF3 mutations disrupt β-catenin signaling in cancer.

Research reveals diverse characteristics and treatment responses in DLBCL.

mLiftOver simplifies data integration from different DNA methylation analysis platforms.