Latest AI and machine learning research in other cancers for healthcare professionals.
Liquid biopsy-derived circulating tumor cells (CTCs) offer a minimally invasive avenue for precision...
Glioblastoma (GBM), the most aggressive primary brain tumor in adults, exhibits profound treatment r...
Adoptive cell therapy with tumor-infiltrating lymphocytes (ACT-TILs) involves autologous TILs that a...
Integrating transcriptome-wide single-cell gene expression data with spatial context significantly e...
Understanding the spatiotemporal dynamics of T-cell clones is a critical challenge in immunology and...
Recurrence related to poor prognosis is a leading cause of mortality in patients with breast cancer ...
T cell exhaustion limits the efficacy of cancer immunotherapies. Here, we performed genome-wide loss...
Current DNA damage repair (DDR) biomarkers employ binary classifications that fail to capture the mo...
Spatially resolved omics enable the discovery of tissue organization of biological or clinical impor...
Triple-negative breast cancer (TNBC) is an aggressive malignancy with limited targeted therapies and...
Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune ch...
Glioblastoma (GBM), the most aggressive primary brain tumor, has a median survival of approximately ...
The tumor microenvironment (TME) significantly impacts cancer progression and overall patient surviv...
Biologically-informed neural networks (BiNNs) offer interpretable deep learning models for biologica...
Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major glo...
Primary and metastatic brain tumors are among the deadliest and treatment-resistant cancers, mainly ...
As tumors develop, cancer cells accumulate diverse genomic and phenotypic alterations to meet height...
Tertiary lymphoid structures (TLS) have been observed in solid tumors and have been associated with ...
Immune checkpoint blockade has emerged as a promising form of cancer therapy. However, only some pat...
A comprehensive understanding of cancer progression requires integrating tissue morphol-ogy with spa...
The rational design of small molecules is central to drug discovery, yet current artificial intellig...