Other Cancers

Integrative analysis identifies FBXO5 as a critical mediator of CRPC progression and bone metastatic potential.

INTRODUCTION: Castration-resistant prostate cancer (CRPC) poses a major clinical challenge due to it...

Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities...

Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma.

The mortality rates have been increasing for glioma in adolescents and young adults (AYAs, aged 15-3...

Response Assessment in Hepatocellular Carcinoma: A Primer for Radiologists.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, necess...

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.

Epigenetic mechanisms play a crucial role in driving transcript expression and shaping the phenotypi...

Navigating the digital health landscape from artificial intelligence-driven molecular subtyping towards optimized rare sarcoma trial design.

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Artificial intelligence advancements have significantly enhanced computer-aided intervention, learni...

Next-generation smart wound dressings: AI integration, biosensors, and electrospun nanofibers for chronic wound therapy.

Polymeric biomaterials, particularly electrospun nanofibers, are increasingly central to the develop...

Metabolic Adaptation Study of Tumor Cells during Lung Cancer Bone Metastasis in Mice Based on Single-Cell Metabolome Analysis.

Lung cancer metastasis, the leading cause of patient mortality, is driven by circulating tumor cells...

Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients.

BACKGROUND: Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of ...

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approaches.

Brain tumors are a significant challenge to human health as they impair the proper functioning of th...

Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer.

Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segm...

Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being ...

A Sensor Array Composed of Organelle-Targeting Fluorescent Probes and Polydopamine Particles for Deep Learning-Assisted Identification and Ablation of Drug-Resistant Lung Tumors.

Lung cancer, a leading cause of global cancer-related mortality, predominantly features nonsmall cel...

Established and emerging biomarkers approaches in Urothelial carcinoma.

INTRODUCTION: Urothelial carcinoma (UC) is marked by significant molecular heterogeneity and this co...

Brain tumor segmentation by optimizing deep learning U-Net model.

BackgroundMagnetic Resonance Imaging (MRI) is a cornerstone in diagnosing brain tumors. However, the...

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular ...

Enhanced detection of ovarian cancer using AI-optimized 3D CNNs for PET/CT scan analysis.

This study investigates how deep learning (DL) can enhance ovarian cancer diagnosis and staging usin...

In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits ...

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses ...

Diagnostic systematic review and meta-analysis of machine learning in predicting biochemical recurrence of prostate cancer.

Prostate cancer (PCa) is the most prevalent malignant tumor in males, and many patients remain at ri...