Other Cancers

Assessment of quantitative staging PET/computed tomography parameters using machine learning for early detection of progression in diffuse large B-cell lymphoma.

OBJECTIVE: This study aimed to investigate the role of volumetric and dissemination parameters obtai...

Boosting Checkpoint Blockade Immunotherapy with T Cell Membrane Redox Homeostasis Regulation and Deep Learning Enhanced NIR-II Imaging.

Immune checkpoint blockade therapy has revolutionized clinical oncotherapy by intercepting immunosup...

Letter to Editor: "Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma".

Automatic Multiclass Tissue Segmentation Using Deep Learning in Brain MR Images of Tumor Patients.

OBJECTIVE: Precise delineation of brain tissues, including lesions, in MR images is crucial for data...

Letter to editor: an artificial intelligence model for nuclear grading of clear cell renal cell carcinoma using whole slide images: a retrospective, multicentre, diagnostic study.

Letter to the editor regarding "an artificial intelligence model for nuclear grading of clear cell renal cell carcinoma using whole slide images: a retrospective, multicentre, diagnostic study".

Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, su...

Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer.

The intersection of cancer and coronary artery disease (CAD) presents complex clinical challenges re...

A machine learning model integrating clinical-radiomics-deep learning features accurately predicts postoperative recurrence and metastasis of primary gastrointestinal stromal tumors.

OBJECTIVES: Post-surgical prediction of recurrence or metastasis for primary gastrointestinal stroma...

A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma.

Multivariate Screening and Automated Clustering of Macrophage Immunoreactome to Nanoparticles and Photothermal Therapy.

Immunotherapy aims to control the immune system against diseases such as cancer or infections. Nanot...

Unraveling the role of perineural invasion in cancer progression across multiple tumor types.

Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

Advancing Design Strategy of PROTACs for Cancer Therapy.

Proteolysis targeting chimeras (PROTACs) have emerged as a groundbreaking class of anticancer therap...

Diagnostic Performance of Radiomics for Differentiating Intrahepatic Cholangiocarcinoma from Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

BACKGROUND: Differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC...

Two-stage ensemble learning framework for automated classification of keratoconus severity.

BACKGROUND AND OBJECTIVE: Accurate staging of keratoconus (KC) is crucial for timely intervention an...

The impact of intensity discretisation and filtration on the performance of the radiomic and machine learning models in brain metastasis patients treated with gamma knife radiosurgery.

INTRODUCTION: Image preprocessing is crucial for optimizing radiomics feature extraction, however, i...

Integrated transcriptome analysis and combinatorial machine learning to construct a homeostatic model of acetylation for ccRCC and validate the key gene GCNT4.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of th...

Risk Classification of Low-Resolution Whole-Slide Thumbnail Images by Multi-dimensional Feature Reconstruction with Multi-task Deep Learning Network Helps Prioritize Pathology Case Registration.

Contemporary surgical pathology workflows often prioritize slide examination based on case registry ...

Exploring the complex interplay between oral infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs.

() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...

Intra-tumor microbiome-based tumor survival indices predict immune interaction and drug sensitivity on pan-cancer scale.

UNLABELLED: Growing research evidence indicates a substantial influence of the intra-tumor microbiom...