Other Cancers

Epitranscriptomic signatures of malignancy: how RNA modifications shape breast and ovarian tumor progression.

Breast and ovarian cancers are still one of the most prevalent causes of cancer death among the wome...

Tumor burden in metastatic colorectal cancer quantified using deep learning models: Prognostic value and maintenance treatment benefit in the CAIRO3 trial.

INTRODUCTION: Total tumor number (TTN) and total tumor volume (TTV) reflect tumor burden and have be...

Increased Prevalence of Extrathymic Neoplasms in Myasthenia Gravis Patients-A Population-Based, Matched Case-Control Study.

INTRODUCTION/AIMS: Myasthenia gravis (MG) is associated with thymic neoplasms. However, an increased...

Deep Learning Reconstruction on Quantitative Analysis in Brain Tumors With Diffusion-Weighted Imaging and Dynamic Susceptibility Contrast Imaging.

BACKGROUND: Although deep learning reconstruction (DLR) has been shown to improve image quality in M...

Adaptive diagnostic reasoning framework for pathology with multimodal large language models.

BACKGROUND: Artificial intelligence enhances pathology screening efficiency, yet clinical adoption r...

Combining AI to reveal CCDC3-mediated pathways of colorectal cancer liver metastasis.

In colorectal cancer liver metastases, chromosomal instability (CIN) serves as a critical hallmark l...

Enhancing adverse drug event extraction and summarization for cancer drugs through large language models.

PURPOSE: Cancer treatments such as chemotherapy, targeted therapy, and immunotherapy can effectively...

Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancer.

INTRODUCTION: Accurate preoperative imaging is essential for improving the treatment of small lung c...

The dual role of the crosstalk between autophagy and ferroptosis in lung cancer treatment: Advances in mechanisms and therapeutic strategies (Review).

The interaction between autophagy and ferroptosis has resulted in the identification of novel approa...

Treatment of pulmonary fibrosis: From disease mechanisms to future novel therapies (Review).

Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease characterized by irreve...

Nitenpyram promotes breast cancer progression via PARP1: Integration of multi-omics analyses with experimental validation.

Nitenpyram (NIT) is an insecticide used primarily for flea control in pets, especially cats and dogs...

Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseases.

The DNA-Based Disease Diagnosis Model with Strand Displacement Reaction.

MicroRNAs (miRNAs) serve as crucial biomarkers in disease diagnosis. Although silicon-based electron...

Development of a Classifier for Metabolic Subtypes of Nasopharyngeal Carcinoma to Guide Personalized Immunotherapy Strategies: Biomarker Analysis of the Phase III CONTINUUM and DIPPER Trials.

PURPOSE: Personalized immunotherapy strategies are urgently needed for patients with locoregionally ...

Radiomics-based ultrasOund Model for differentiating Uterine Sarcomas from leiomyomas (ROMUS): a retrospective pilot Multicenter Italian Trials in Ovarian Cancer (MITO) study.

OBJECTIVE: To develop machine-learning models that incorporate clinical information and radiomics fe...

Fragmentomic liquid biopsy enables early breast cancer detection, molecular subtyping and lymph node assessment.

Breast cancer remains a leading global health concern in women, while screening is still limited by ...

Integration of radiomics, deep learning, transcriptomics, and metabolomics reveals prognostic risk stratification and underlying biological mechanisms in colorectal cancer.

Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-r...

Cell-free DNA methylome and fragmentome analysis for relapse monitoring of Ewing sarcoma.

Liquid biopsies and cell-free DNA (cfDNA) offer minimally invasive methods for the diagnosis and mon...

Integrated analysis of therapeutic strategies and prognostic factors in advanced lung adenocarcinoma: Retrospective study with emphasis on gene assays, multimodality treatment approaches and predictive machine learning models.

Patients with advanced lung adenocarcinoma have a range of treatment options, including targeted the...

Context-Aware adaptive normalization LSTM (CAAN-LSTM) for immunotherapy decision support in cancer clinical data analysis.

BACKGROUND: Clinical decision-making for cancer immunotherapy is challenged by the heterogeneous and...

BCLC classification and AI-based image quantification: What is meant to be will come together - but how and when?: BCLC and AI-based image quantification.

The Barcelona Clinic Liver Cancer (BCLC) classification has been the mainstay for prognostic assessm...