Latest Articles for Cancer Research

New algorithm aids in studying cancer cell behavior for better treatments.

Research offers new hope for improving brain metastasis treatment responses in melanoma patients.

A new method enhances predictions for cancer patients using image and gene data.

Scientists use machine learning to improve predictions in cancer drug combinations.

A new method improves melanoma diagnosis by integrating technology and clinical knowledge.

This research explores T-cell behavior in multiple myeloma and its implications for treatment.

miR-317 is crucial for controlling stem cell growth and preventing tumors in fruit flies.

HRProfiler improves identification of HR deficiencies, aiding cancer treatment decisions.

A new framework improves WSI classification by incorporating spatial context.

Adherens junctions ensure cells stick together and respond to mechanical stress.

Researchers find DLK1 a potential target for treating difficult-to-treat cancers.

Research reveals how fludarabine treatment alters leukemia cell surface proteins.

Astrocytes influence glioblastoma growth and treatment response significantly.

Research uses mathematical models to optimize cancer drug treatment strategies.

INSCRIBE system allows cells to record their signaling history for better understanding of biology.

Researchers developed MAAS to better identify cancer cell groups in tumors.

Research identifies promising proteins for early pancreatic cancer detection.

Research reveals how nicotine affects intestinal stem cells and contributes to cancer development.

A new sequencing method improves the diagnosis of B-ALL and AML in children.

Lysosomes influence cell health through movement and response to amino acids.

NuLite streamlines cancer diagnosis with fast and efficient image segmentation.

Research reveals potential of CD95L in enhancing cancer cell death.

This study uses mathematical modeling to analyze cell movement through the extracellular matrix.

Examining how cancer cell mutations change over treatment.

An overview of aneuploidy and genetic shifts in colorectal cancer development.

New research highlights how immune cells affect breast cancer patient outcomes.

Combining ctDNA and deep learning improves predictions for colorectal cancer recurrence.

Research reveals how proteins CENP-T and Ndc80 interact during cell division.

New combination therapies show promise in improving cancer treatment outcomes.

New insights into how cell voltage influences division and cancer behavior.

A new tool bridges gene expression and tissue structure for better medical research.

Using electronic health records to predict ovarian cancer risk in women.

EF-24 shows strong potential in reducing leukemia cell survival across various subtypes.

New insights into RO6870810 and its impact on cancer therapies.

New tools improve evaluation of pediatric brain tumors for better treatment outcomes.

SATS offers advanced insights into mutational signatures for better cancer treatment.

Research explores how PRC2 influences cancer cell growth and treatment responses.

Analyzing SAM 2's efficiency in polyp segmentation for colorectal cancer detection.

New methods improve drug response predictions for better cancer treatment options.

A fresh approach reveals how proteins bond in cell membranes.