Latest AI and machine learning research in other cancers for healthcare professionals.
We propose a multimodal spatiotemporal graph neural network (STG) framework to predict colorectal ...
We explore Generalizable Tumor Segmentation, aiming to train a single model for zero-shot tumor se...
Heterogeneous morphological features and data imbalance pose significant challenges in rare thyroi...
Accurate lung tumor segmentation is crucial for improving diagnosis, treatment planning, and patie...
Immunotherapy has revolutionized survival outcomes for many patients diagnosed with cancer. However,...
Background: Advances in the theory and methods of computational oncology have enabled accurate cha...
OBJECTIVE: to assess the needs and attitudes of urologists regarding the use of technologies related...
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsi...
Fumarate hydratase-deficient renal cell carcinoma (FHdRCC) is a rare and aggressive form of kidney c...
BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcino...
Purpose To develop an artificial intelligence (AI) model based on gadoxetic acid-enhanced MRI to ass...
BACKGROUND: Accurate diagnosis of neuroendocrine neoplasms (NENs) is challenging, especially in poor...
Single-cell sequencing has advanced our understanding of cellular heterogeneity and disease patholog...
PURPOSE: Bone metastasis is a critical complication in prostate cancer, significantly impacting pati...
OBJECTIVE: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical ...
BACKGROUND: Some clinicopathological risk stratification systems (CRSSs) such as the leibovich score...
OBJECTIVE: The objective of this study was to analyze the incidence and overall survival (OS) of ost...
Analysing the genome, epigenome, transcriptome, proteome, and metabolome within the spatial context ...
AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) ...
This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...
BACKGROUND: The Paris System (TPS) introduced standardized nuclear-to-cytoplasmic (N/C) ratio thresh...