AIMC Topic: Neoplasms

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Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.

Cancer metastasis reviews
The global burden of cancer is rising, with treatment failures often due to the metastatic nature of late-stage malignancies. Circulating tumour cells (CTCs) are metastatic precursors shed from primary tumours, which survive in circulation, extravasa...

CIMT 2025: Report on the 22 Annual Meeting of the Association for Cancer Immunotherapy.

Human vaccines & immunotherapeutics
The 22 Annual Meeting of the Association for Cancer Immunotherapy (CIMT) was held from May 12 to May 14, 2025, in Mainz, Germany. The event brought together 674 academic and clinical professionals from 27 countries across five continents. As a centra...

Biology-driven insights into the power of single-cell foundation models.

Genome biology
BACKGROUND: Single-cell foundation models (scFMs) have emerged as powerful tools for integrating heterogeneous datasets and exploring biological systems. Despite high expectations, their ability to extract unique biological insights beyond standard m...

Histopathological cancer images classification with Deng entropy.

Biomedical physics & engineering express
Histopathological imaging is of paramount importance for the initial detection, diagnosis, and classification of tumors. Recurrent neural networks and convolutional neural networks have led to substantial advancements in digital pathology, thereby en...

Targeting cancer epigenetics with PPD-type ginsenosides: A systematic review of mechanisms and therapeutic potential.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: For centuries, Panax ginseng C.A. Meyer has been widely employed in traditional medicine, and its primary therapeutic constituents are a class of compounds known as ginsenosides. In particular, protopanaxadiol (PPD)-type ginsenosides exhi...

MLGCN-Driver: a cancer driver gene identification method based on multi-layer graph convolutional neural network.

BMC bioinformatics
BACKGROUND: The progression of cancer is driven by the accumulation of mutations in driver genes. Many researches promote to identify cancer driver genes. However, most of them ignore the high-order features in the network.

Fuzzy and fractional analysis of cancer tumor dynamics with depression effects on chemotherapy.

Scientific reports
Cancer is a complex and heterogeneous condition marked by the unchecked growth and dissemination of abnormal cells, posing significant challenges in detection, treatment, and patient care. As one of the leading global causes of death, a deep understa...

Computational pathology in precision oncology: Evolution from task-specific models to foundation models.

Chinese medical journal
With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has signific...

RCANE: a deep learning algorithm for whole-genome pan-cancer somatic copy number aberration prediction using RNA-seq data.

Communications biology
Transcriptome sequencing (RNA-seq) of cancers is widely employed in cancer research to investigate gene expression patterns and their role in disease progression. Somatic copy-number aberrations (SCNAs)-critical genomic drivers of tumorigenesis-can a...

Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study.

JMIR cancer
BACKGROUND: Complementary therapies are being increasingly used by cancer survivors. As a channel for customers to share their feelings, outcomes, and perceived knowledge about the products purchased from e-commerce platforms, Amazon consumer reviews...